1.1. Simple Regression in Excel (Excel 2010).


 Catherine Lawrence
 2 years ago
 Views:
Transcription
1 .. Simple Regression in Excel (Excel 200). To get the Data Analysis tool, first click on File > Options > AddIns > Go > Select Data Analysis Toolpack & Toolpack VBA. Data Analysis is now available under Excel s Data tab. Open the Excel Worksheet GPAvsGMAT.xls and select Data Analysis > Regression. Then fill out the popup window as shown below, specifying GPA as the Y variable and GMAT as the X variable: This will produce the output: SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 20 ANOVA df SS MS F Significance F Regression E05 Residual Total Coefficients Standard Error t Stat Pvalue Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept GMAT E b. Simple Regression in Excel (Excel 2007).
2 To get the Data Analysis tool in Excel 2007, first click on the Office button (top left corner), and select Excell options > AddIns > Go > Select Data Analysis Toolpack & Toolpack VBA. Data Analysis is now available under Excel s Data tab..c. Simple Regression in Excel (Excel 2003). Open the Excel Worksheet GPAvsGMAT.xls and select Tools > Data Analysis > Regression. Then fill out the popup window the same way as shown for Excel 200. In case Data Analysis is not found under Tools, add it under Tools > AddIns..2. Simple Regression in IBM SPSS..2.. Start IBM SPSS Statistics 20, available from the Statistics menu of the standard COB PC configuration. Select File > Open > Data. Select to see Files of type: Excel. Open GPAvsGMAT.xls. Confirm that variable names should be read from the first row of data Select Analyze > Regression > Linear. Specify Dependent=GPA, Independent=GMAT. 2
3 Select OK. This will produce the following output: Regression Variables Entered/Removed b Variables Entered Variables Removed Method GMAT a. Enter a. All requested variables entered. b. Dependent Variable: GPA Summary R R Square Adjusted R Square Std. Error of the Estimate.809 a a. Predictors: (Constant), GMAT ANOVA b Sum of Squares df Mean Square F Sig. Regression (a) Residual Total a. Predictors: (Constant), GMAT b. Dependent Variable: GPA Unstandardized Coefficients Coefficients a Standardized Coefficients B Std. Error Beta t Sig. (Constant) GMAT a. Dependent Variable: GPA 3
4 .3. Simple Regression in MINITAB..3.. Start MINITAB 6 for Windows, available from the Statistics menu of the standard COB PC configuration. Select File > Open Worksheet. Select to see Files of type: Excel. Open GPAvsGMAT.xls Select Stat > Regression > Regression. Select OK. This will produce the output: Regression Analysis: GPA versus GMAT The regression equation is GPA = GMAT Predictor Coef SE Coef T P Constant GMAT S = RSq = 65.4% RSq(adj) = 63.5% Analysis of Variance Source DF SS MS F P Regression Residual Error Total
5 .4. Simple Regression in SAS 9.3 Open SAS 9.3. IN the SAS environment, you will need to create a library called BUSI6220 and convert the data file GPAvsGMAT.xls from Excel format to SAS format..4.. Doubleclick the yellow libraries icon. Rightclick > New. Type BUSI6220 as the name of the new library, and an appropriate folder location in the Path box. Click OK. Your new library should now appear as a new yellow icon Import the Excel data file by selecting File > Import Data > MS Excel > Next. Find your file and select it. Select BUSI6220 as the destination library and GPAVSGMAT as the Member name Select Solutions > Analysis >Interactive Data Analysis. Select SAS data file BUSI6220.GPAVSGMAT. Click Open Select Analyze > Fit. Specify GPA as the Y variable and GMAT as the X variable. Click OK. 5
6 The analysis results will appear as shown below. GPA = GMAT Response Di st r i but i on: Nor mal Li nk Funct i on: I dent i t y Equat i on GPA = GMAT 3.5 G P A GMAT Cur ve Degr ee( Pol ynomial) DF Paramet r i c Regr essi on Fi t Er r or Mean Squar e DF Mean Squar e R Squar e F St at Pr > F <. 000 Summar y of Fi t Mean of Response Root MSE R Squar e Adj R Sq Sour ce Er r or C Tot al DF 8 9 Anal ysi s of Vari ance Sumof Squar es Mean Squar e F St at Pr > F <. 000 Sour ce GMAT DF Sumof Squar es Type III Tests Mean Squar e F St at Pr > F <
7 .5b. Find the LSE solution for b 0, b, using Excel Solver (Excel 200)..5.. Start by setting up an Excel worksheet where the squared residuals are calculated. Use arbitrary values for b 0 and b (the arbitrary solution b 0 =.00 and b =0.0 is shown below) Fill in the rest of the worksheet, and place the sum of squared residuals in one of the cells: To add solver in your Excel, follow similar steps as those involved in adding Data Analysis capabilities. Solver will then be available under Excel s Data tab..5b.3. Set up a linear program using Solver (Data > Solver). Click Solve and keep the solution. The results will appear in cells B23 (for b 0 ) and B24 (for b ). Solver will replace the arbitrary values for b0 and b with the LSE solution values. 7
SPSS Guide: Regression Analysis
SPSS Guide: Regression Analysis I put this together to give you a stepbystep guide for replicating what we did in the computer lab. It should help you run the tests we covered. The best way to get familiar
More informationMultiple Regression in SPSS This example shows you how to perform multiple regression. The basic command is regression : linear.
Multiple Regression in SPSS This example shows you how to perform multiple regression. The basic command is regression : linear. In the main dialog box, input the dependent variable and several predictors.
More informationMultiple Regression. Page 24
Multiple Regression Multiple regression is an extension of simple (bivariate) regression. The goal of multiple regression is to enable a researcher to assess the relationship between a dependent (predicted)
More informationDoing Multiple Regression with SPSS. In this case, we are interested in the Analyze options so we choose that menu. If gives us a number of choices:
Doing Multiple Regression with SPSS Multiple Regression for Data Already in Data Editor Next we want to specify a multiple regression analysis for these data. The menu bar for SPSS offers several options:
More informationUsing Minitab for Regression Analysis: An extended example
Using Minitab for Regression Analysis: An extended example The following example uses data from another text on fertilizer application and crop yield, and is intended to show how Minitab can be used to
More informationRegression Analysis: A Complete Example
Regression Analysis: A Complete Example This section works out an example that includes all the topics we have discussed so far in this chapter. A complete example of regression analysis. PhotoDisc, Inc./Getty
More informationRegression stepbystep using Microsoft Excel
Step 1: Regression stepbystep using Microsoft Excel Notes prepared by Pamela Peterson Drake, James Madison University Type the data into the spreadsheet The example used throughout this How to is a regression
More informationWhen to use Excel. When NOT to use Excel 9/24/2014
Analyzing Quantitative Assessment Data with Excel October 2, 2014 Jeremy Penn, Ph.D. Director When to use Excel You want to quickly summarize or analyze your assessment data You want to create basic visual
More informationBill Burton Albert Einstein College of Medicine william.burton@einstein.yu.edu April 28, 2014 EERS: Managing the Tension Between Rigor and Resources 1
Bill Burton Albert Einstein College of Medicine william.burton@einstein.yu.edu April 28, 2014 EERS: Managing the Tension Between Rigor and Resources 1 Calculate counts, means, and standard deviations Produce
More information1. What is the critical value for this 95% confidence interval? CV = z.025 = invnorm(0.025) = 1.96
1 Final Review 2 Review 2.1 CI 1propZint Scenario 1 A TV manufacturer claims in its warranty brochure that in the past not more than 10 percent of its TV sets needed any repair during the first two years
More informationKSTAT MINIMANUAL. Decision Sciences 434 Kellogg Graduate School of Management
KSTAT MINIMANUAL Decision Sciences 434 Kellogg Graduate School of Management Kstat is a set of macros added to Excel and it will enable you to do the statistics required for this course very easily. To
More informationData Mining and Data Warehousing. Henryk Maciejewski. Data Mining Predictive modelling: regression
Data Mining and Data Warehousing Henryk Maciejewski Data Mining Predictive modelling: regression Algorithms for Predictive Modelling Contents Regression Classification Auxiliary topics: Estimation of prediction
More informationSimple Linear Regression, Scatterplots, and Bivariate Correlation
1 Simple Linear Regression, Scatterplots, and Bivariate Correlation This section covers procedures for testing the association between two continuous variables using the SPSS Regression and Correlate analyses.
More informationOutline. Topic 4  Analysis of Variance Approach to Regression. Partitioning Sums of Squares. Total Sum of Squares. Partitioning sums of squares
Topic 4  Analysis of Variance Approach to Regression Outline Partitioning sums of squares Degrees of freedom Expected mean squares General linear test  Fall 2013 R 2 and the coefficient of correlation
More informationRegression. Name: Class: Date: Multiple Choice Identify the choice that best completes the statement or answers the question.
Class: Date: Regression Multiple Choice Identify the choice that best completes the statement or answers the question. 1. Given the least squares regression line y8 = 5 2x: a. the relationship between
More informationLinear Regression in SPSS
Linear Regression in SPSS Data: mangunkill.sav Goals: Examine relation between number of handguns registered (nhandgun) and number of man killed (mankill) checking Predict number of man killed using number
More informationDidacticiel  Études de cas
1 Topic Regression analysis with LazStats (OpenStat). LazStat 1 is a statistical software which is developed by Bill Miller, the father of OpenStat, a wellknow tool by statisticians since many years. These
More informationPredictor Coef StDev T P Constant 970667056 616256122 1.58 0.154 X 0.00293 0.06163 0.05 0.963. S = 0.5597 RSq = 0.0% RSq(adj) = 0.
Statistical analysis using Microsoft Excel Microsoft Excel spreadsheets have become somewhat of a standard for data storage, at least for smaller data sets. This, along with the program often being packaged
More informationData Analysis for Marketing Research  Using SPSS
North South University, School of Business MKT 63 Marketing Research Instructor: Mahmood Hussain, PhD Data Analysis for Marketing Research  Using SPSS Introduction In this part of the class, we will learn
More informationAssignment objectives:
Assignment objectives: Regression Pivot table Exercise #1 Simple Linear Regression Often the relationship between two variables, Y and X, can be adequately represented by a simple linear equation of the
More informationChapter 13 Introduction to Linear Regression and Correlation Analysis
Chapter 3 Student Lecture Notes 3 Chapter 3 Introduction to Linear Regression and Correlation Analsis Fall 2006 Fundamentals of Business Statistics Chapter Goals To understand the methods for displaing
More informationDEPARTMENT OF PSYCHOLOGY UNIVERSITY OF LANCASTER MSC IN PSYCHOLOGICAL RESEARCH METHODS ANALYSING AND INTERPRETING DATA 2 PART 1 WEEK 9
DEPARTMENT OF PSYCHOLOGY UNIVERSITY OF LANCASTER MSC IN PSYCHOLOGICAL RESEARCH METHODS ANALYSING AND INTERPRETING DATA 2 PART 1 WEEK 9 Analysis of covariance and multiple regression So far in this course,
More informationFinal Exam Practice Problem Answers
Final Exam Practice Problem Answers The following data set consists of data gathered from 77 popular breakfast cereals. The variables in the data set are as follows: Brand: The brand name of the cereal
More informationHOW TO USE MINITAB: DESIGN OF EXPERIMENTS. Noelle M. Richard 08/27/14
HOW TO USE MINITAB: DESIGN OF EXPERIMENTS 1 Noelle M. Richard 08/27/14 CONTENTS 1. Terminology 2. Factorial Designs When to Use? (preliminary experiments) Full Factorial Design General Full Factorial Design
More informationSimple Linear Regression in SPSS STAT 314
Simple Linear Regression in SPSS STAT 314 1. Ten Corvettes between 1 and 6 years old were randomly selected from last year s sales records in Virginia Beach, Virginia. The following data were obtained,
More informationOneWay Analysis of Variance (ANOVA) Example Problem
OneWay Analysis of Variance (ANOVA) Example Problem Introduction Analysis of Variance (ANOVA) is a hypothesistesting technique used to test the equality of two or more population (or treatment) means
More informationChapter 23. Inferences for Regression
Chapter 23. Inferences for Regression Topics covered in this chapter: Simple Linear Regression Simple Linear Regression Example 23.1: Crying and IQ The Problem: Infants who cry easily may be more easily
More informationUnivariate Regression
Univariate Regression Correlation and Regression The regression line summarizes the linear relationship between 2 variables Correlation coefficient, r, measures strength of relationship: the closer r is
More informationGetting Started with Minitab 17
2014 by Minitab Inc. All rights reserved. Minitab, Quality. Analysis. Results. and the Minitab logo are registered trademarks of Minitab, Inc., in the United States and other countries. Additional trademarks
More information2. Simple Linear Regression
Research methods  II 3 2. Simple Linear Regression Simple linear regression is a technique in parametric statistics that is commonly used for analyzing mean response of a variable Y which changes according
More informationEXCEL Analysis TookPak [Statistical Analysis] 1. First of all, check to make sure that the Analysis ToolPak is installed. Here is how you do it:
EXCEL Analysis TookPak [Statistical Analysis] 1 First of all, check to make sure that the Analysis ToolPak is installed. Here is how you do it: a. From the Tools menu, choose AddIns b. Make sure Analysis
More informationData Analysis Tools. Tools for Summarizing Data
Data Analysis Tools This section of the notes is meant to introduce you to many of the tools that are provided by Excel under the Tools/Data Analysis menu item. If your computer does not have that tool
More informationThis chapter will demonstrate how to perform multiple linear regression with IBM SPSS
CHAPTER 7B Multiple Regression: Statistical Methods Using IBM SPSS This chapter will demonstrate how to perform multiple linear regression with IBM SPSS first using the standard method and then using the
More informationHow To Run Statistical Tests in Excel
How To Run Statistical Tests in Excel Microsoft Excel is your best tool for storing and manipulating data, calculating basic descriptive statistics such as means and standard deviations, and conducting
More informationWeek TSX Index 1 8480 2 8470 3 8475 4 8510 5 8500 6 8480
1) The S & P/TSX Composite Index is based on common stock prices of a group of Canadian stocks. The weekly close level of the TSX for 6 weeks are shown: Week TSX Index 1 8480 2 8470 3 8475 4 8510 5 8500
More informationCurve Fitting. Before You Begin
Curve Fitting Chapter 16: Curve Fitting Before You Begin Selecting the Active Data Plot When performing linear or nonlinear fitting when the graph window is active, you must make the desired data plot
More informationBivariate Analysis. Correlation. Correlation. Pearson's Correlation Coefficient. Variable 1. Variable 2
Bivariate Analysis Variable 2 LEVELS >2 LEVELS COTIUOUS Correlation Used when you measure two continuous variables. Variable 2 2 LEVELS X 2 >2 LEVELS X 2 COTIUOUS ttest X 2 X 2 AOVA (Ftest) ttest AOVA
More informationc 2015, Jeffrey S. Simonoff 1
Modeling Lowe s sales Forecasting sales is obviously of crucial importance to businesses. Revenue streams are random, of course, but in some industries general economic factors would be expected to have
More informationNCSS Statistical Software Principal Components Regression. In ordinary least squares, the regression coefficients are estimated using the formula ( )
Chapter 340 Principal Components Regression Introduction is a technique for analyzing multiple regression data that suffer from multicollinearity. When multicollinearity occurs, least squares estimates
More informationA Basic Guide to Analyzing Individual Scores Data with SPSS
A Basic Guide to Analyzing Individual Scores Data with SPSS Step 1. Clean the data file Open the Excel file with your data. You may get the following message: If you get this message, click yes. Delete
More informationTechnology StepbyStep Using StatCrunch
Technology StepbyStep Using StatCrunch Section 1.3 Simple Random Sampling 1. Select Data, highlight Simulate Data, then highlight Discrete Uniform. 2. Fill in the following window with the appropriate
More informationStat 5303 (Oehlert): Tukey One Degree of Freedom 1
Stat 5303 (Oehlert): Tukey One Degree of Freedom 1 > catch
More informationLesson 3  Processing a MultiLayer Yield History. Exercise 34
Lesson 3  Processing a MultiLayer Yield History Exercise 34 Objective: Develop yieldbased management zones. 1. FileOpen Project_33.map. 2. Double click the Average Yield surface component in the
More informationA Guide for a Selection of SPSS Functions
A Guide for a Selection of SPSS Functions IBM SPSS Statistics 19 Compiled by Beth Gaedy, Math Specialist, Viterbo University  2012 Using documents prepared by Drs. Sheldon Lee, Marcus Saegrove, Jennifer
More informationGUARD1 PLUS MiniAttendant File Manager User's Guide Version 2.71
GUARD1 PLUS MiniAttendant File Manager User's Guide Version 2.71 Copyright 2002 TimeKeeping Systems, Inc. GUARD1 PLUS and THE PIPE are registered trademarks of TimeKeeping Systems, Inc. Introduction This
More information1. The parameters to be estimated in the simple linear regression model Y=α+βx+ε ε~n(0,σ) are: a) α, β, σ b) α, β, ε c) a, b, s d) ε, 0, σ
STA 3024 Practice Problems Exam 2 NOTE: These are just Practice Problems. This is NOT meant to look just like the test, and it is NOT the only thing that you should study. Make sure you know all the material
More information17. SIMPLE LINEAR REGRESSION II
17. SIMPLE LINEAR REGRESSION II The Model In linear regression analysis, we assume that the relationship between X and Y is linear. This does not mean, however, that Y can be perfectly predicted from X.
More informationMULTIPLE LINEAR REGRESSION ANALYSIS USING MICROSOFT EXCEL. by Michael L. Orlov Chemistry Department, Oregon State University (1996)
MULTIPLE LINEAR REGRESSION ANALYSIS USING MICROSOFT EXCEL by Michael L. Orlov Chemistry Department, Oregon State University (1996) INTRODUCTION In modern science, regression analysis is a necessary part
More informationSage Intelligence Report Designer AddIn
Sage Intelligence Report Designer AddIn Q: What is Sage Intelligence Reporting? A: Sage Intelligence Reporting helps you to easily control, automate and analyze your data to make better informed decision,
More informationPOL 681: Stata for Regression Analysis
1 Getting Started POL 681: Stata for Regression Analysis When using Stata for regression analysis, or anything else for that matter, the first thing you have to do is make sure Stata has data upon which
More informationMGT 267 PROJECT. Forecasting the United States Retail Sales of the Pharmacies and Drug Stores. Done by: Shunwei Wang & Mohammad Zainal
MGT 267 PROJECT Forecasting the United States Retail Sales of the Pharmacies and Drug Stores Done by: Shunwei Wang & Mohammad Zainal Dec. 2002 The retail sale (Million) ABSTRACT The present study aims
More informationTitle: Modeling for Prediction Linear Regression with Excel, Minitab, Fathom and the TI83
Title: Modeling for Prediction Linear Regression with Excel, Minitab, Fathom and the TI83 Brief Overview: In this lesson section, the class is going to be exploring data through linear regression while
More informationForecasting in STATA: Tools and Tricks
Forecasting in STATA: Tools and Tricks Introduction This manual is intended to be a reference guide for time series forecasting in STATA. It will be updated periodically during the semester, and will be
More informationMixed 2 x 3 ANOVA. Notes
Mixed 2 x 3 ANOVA This section explains how to perform an ANOVA when one of the variables takes the form of repeated measures and the other variable is betweensubjects that is, independent groups of participants
More informationA Quick Guide to Using Excel 2007 s Regression Analysis Tool
A Quick Guide to Using Excel 2007 s Regression Analysis Tool Table of Contents The Analysis Toolpak... 1 If the AddIn is ALREADY Installed... 1 If the AddIn is NOT ALREADY Installed... 1 Run a Multiple
More informationIntroduction to Stata
Introduction to Stata September 23, 2014 Stata is one of a few statistical analysis programs that social scientists use. Stata is in the midrange of how easy it is to use. Other options include SPSS,
More informationExploring Relationships using SPSS inferential statistics (Part II) Dwayne Devonish
Exploring Relationships using SPSS inferential statistics (Part II) Dwayne Devonish Reminder: Types of Variables Categorical Variables Based on qualitative type variables. Gender, Ethnicity, religious
More informationEXCEL Tutorial: How to use EXCEL for Graphs and Calculations.
EXCEL Tutorial: How to use EXCEL for Graphs and Calculations. Excel is powerful tool and can make your life easier if you are proficient in using it. You will need to use Excel to complete most of your
More informationEPS 625 ANALYSIS OF COVARIANCE (ANCOVA) EXAMPLE USING THE GENERAL LINEAR MODEL PROGRAM
EPS 6 ANALYSIS OF COVARIANCE (ANCOVA) EXAMPLE USING THE GENERAL LINEAR MODEL PROGRAM ANCOVA One Continuous Dependent Variable (DVD Rating) Interest Rating in DVD One Categorical/Discrete Independent Variable
More informationUSING EXCEL 2010 TO SOLVE LINEAR PROGRAMMING PROBLEMS MTH 125 Chapter 4
ONETIME ONLY SET UP INSTRUCTIONS Begin by verifying that the computer you are using has the Solver AddIn enabled. Click on Data in the menu across the top of the window. On the far right side, you should
More informationElementary Statistics Sample Exam #3
Elementary Statistics Sample Exam #3 Instructions. No books or telephones. Only the supplied calculators are allowed. The exam is worth 100 points. 1. A chi square goodness of fit test is considered to
More informationThe Volatility Index Stefan Iacono University System of Maryland Foundation
1 The Volatility Index Stefan Iacono University System of Maryland Foundation 28 May, 2014 Mr. Joe Rinaldi 2 The Volatility Index Introduction The CBOE s VIX, often called the market fear gauge, measures
More informationSolving Linear Programs in Excel
Notes for AGEC 622 Bruce McCarl Regents Professor of Agricultural Economics Texas A&M University Thanks to Michael Lau for his efforts to prepare the earlier copies of this. 1 http://ageco.tamu.edu/faculty/mccarl/622class/
More informationChapter 5. Regression
Topics covered in this chapter: Chapter 5. Regression Adding a Regression Line to a Scatterplot Regression Lines and Influential Observations Finding the Least Squares Regression Model Adding a Regression
More informationModerator and Mediator Analysis
Moderator and Mediator Analysis Seminar General Statistics Marijtje van Duijn October 8, Overview What is moderation and mediation? What is their relation to statistical concepts? Example(s) October 8,
More informationTwo Related Samples t Test
Two Related Samples t Test In this example 1 students saw five pictures of attractive people and five pictures of unattractive people. For each picture, the students rated the friendliness of the person
More informationStatistical Analysis Using SPSS for Windows Getting Started (Ver. 2014/11/6) The numbers of figures in the SPSS_screenshot.pptx are shown in red.
Statistical Analysis Using SPSS for Windows Getting Started (Ver. 2014/11/6) The numbers of figures in the SPSS_screenshot.pptx are shown in red. 1. How to display English messages from IBM SPSS Statistics
More informationExport the address book from the Blackberry handheld to MS Outlook 2003, using the synchronize utility in Blackberry Desktop Manager.
Export the address book from the Blackberry handheld to MS Outlook 2003, using the synchronize utility in Blackberry Desktop Manager. Revised 2/25/07 Creating a New Contacts Folder in Outlook Open Outlook
More informationUsing Microsoft Excel to Plot and Analyze Kinetic Data
Entering and Formatting Data Using Microsoft Excel to Plot and Analyze Kinetic Data Open Excel. Set up the spreadsheet page (Sheet 1) so that anyone who reads it will understand the page (Figure 1). Type
More informationNONLINEAR INTERPOLATION WITH EXCEL TO CONSTRUCT U.S. TREASURY BOND YIELD CURVE
ISSUE 38 JANUARY 2011 Table of Contents CompAct Editorial January 2011 Letter From The Chair A Question of Ethics Reducing The Risk In Excel Risk Modeling A Look at Two SOA Technology Section Sessions
More informationAn SPSS companion book. Basic Practice of Statistics
An SPSS companion book to Basic Practice of Statistics SPSS is owned by IBM. 6 th Edition. Basic Practice of Statistics 6 th Edition by David S. Moore, William I. Notz, Michael A. Flinger. Published by
More informationMultiple Linear Regression
Multiple Linear Regression A regression with two or more explanatory variables is called a multiple regression. Rather than modeling the mean response as a straight line, as in simple regression, it is
More informationInstructions for Creating an Outlook Email Distribution List from an Excel File
Instructions for Creating an Outlook Email Distribution List from an Excel File 1.0 Importing Excel Data to an Outlook Distribution List 1.1 Create an Outlook Personal Folders File (.pst) Notes: 1) If
More informationData analysis. Data analysis in Excel using Windows 7/Office 2010
Data analysis Data analysis in Excel using Windows 7/Office 2010 Open the Data tab in Excel If Data Analysis is not visible along the top toolbar then do the following: o Right click anywhere on the toolbar
More informationMULTIPLE REGRESSION EXAMPLE
MULTIPLE REGRESSION EXAMPLE For a sample of n = 166 college students, the following variables were measured: Y = height X 1 = mother s height ( momheight ) X 2 = father s height ( dadheight ) X 3 = 1 if
More informationCurve Fitting in Microsoft Excel By William Lee
Curve Fitting in Microsoft Excel By William Lee This document is here to guide you through the steps needed to do curve fitting in Microsoft Excel using the leastsquares method. In mathematical equations
More informationOneWay ANOVA using SPSS 11.0. SPSS ANOVA procedures found in the Compare Means analyses. Specifically, we demonstrate
1 OneWay ANOVA using SPSS 11.0 This section covers steps for testing the difference between three or more group means using the SPSS ANOVA procedures found in the Compare Means analyses. Specifically,
More informatione = random error, assumed to be normally distributed with mean 0 and standard deviation σ
1 Linear Regression 1.1 Simple Linear Regression Model The linear regression model is applied if we want to model a numeric response variable and its dependency on at least one numeric factor variable.
More informationABSORBENCY OF PAPER TOWELS
ABSORBENCY OF PAPER TOWELS 15. Brief Version of the Case Study 15.1 Problem Formulation 15.2 Selection of Factors 15.3 Obtaining Random Samples of Paper Towels 15.4 How will the Absorbency be measured?
More informationMinitab Tutorials for Design and Analysis of Experiments. Table of Contents
Table of Contents Introduction to Minitab...2 Example 1 OneWay ANOVA...3 Determining Sample Size in Oneway ANOVA...8 Example 2 Twofactor Factorial Design...9 Example 3: Randomized Complete Block Design...14
More informationChapter Seven. Multiple regression An introduction to multiple regression Performing a multiple regression on SPSS
Chapter Seven Multiple regression An introduction to multiple regression Performing a multiple regression on SPSS Section : An introduction to multiple regression WHAT IS MULTIPLE REGRESSION? Multiple
More informationManaging Contacts in Outlook
Managing Contacts in Outlook This document provides instructions for creating contacts and distribution lists in Microsoft Outlook 2007. In addition, instructions for using contacts in a Microsoft Word
More informationChapter 5 Analysis of variance SPSS Analysis of variance
Chapter 5 Analysis of variance SPSS Analysis of variance Data file used: gss.sav How to get there: Analyze Compare Means Oneway ANOVA To test the null hypothesis that several population means are equal,
More informationE x c e l 2 0 1 0 : Data Analysis Tools Student Manual
E x c e l 2 0 1 0 : Data Analysis Tools Student Manual Excel 2010: Data Analysis Tools Chief Executive Officer, Axzo Press: Series Designer and COO: Vice President, Operations: Director of Publishing Systems
More informationSydney Roberts Predicting Age Group Swimmers 50 Freestyle Time 1. 1. Introduction p. 2. 2. Statistical Methods Used p. 5. 3. 10 and under Males p.
Sydney Roberts Predicting Age Group Swimmers 50 Freestyle Time 1 Table of Contents 1. Introduction p. 2 2. Statistical Methods Used p. 5 3. 10 and under Males p. 8 4. 11 and up Males p. 10 5. 10 and under
More informationSPSS BASICS. (Data used in this tutorial: General Social Survey 2000 and 2002) Ex: Mother s Education to eliminate responses 97,98, 99;
SPSS BASICS (Data used in this tutorial: General Social Survey 2000 and 2002) How to do Recoding Eliminating Response Categories Ex: Mother s Education to eliminate responses 97,98, 99; When we run a frequency
More informationRegression Analysis. Data Calculations Output
Regression Analysis In an attempt to find answers to questions such as those posed above, empirical labour economists use a useful tool called regression analysis. Regression analysis is essentially a
More informationModeration. Moderation
Stats  Moderation Moderation A moderator is a variable that specifies conditions under which a given predictor is related to an outcome. The moderator explains when a DV and IV are related. Moderation
More informationFor example, enter the following data in three COLUMNS in a new View window.
Statistics with Statview  18 Paired ttest A paired ttest compares two groups of measurements when the data in the two groups are in some way paired between the groups (e.g., before and after on the
More informationMicrosoft Excel Tutorial
Microsoft Excel Tutorial by Dr. James E. Parks Department of Physics and Astronomy 401 Nielsen Physics Building The University of Tennessee Knoxville, Tennessee 379961200 Copyright August, 2000 by James
More informationFactor B: Curriculum New Math Control Curriculum (B (B 1 ) Overall Mean (marginal) Females (A 1 ) Factor A: Gender Males (A 2) X 21
1 Factorial ANOVA The ANOVA designs we have dealt with up to this point, known as simple ANOVA or oneway ANOVA, had only one independent grouping variable or factor. However, oftentimes a researcher has
More informationIAPRI Quantitative Analysis Capacity Building Series. Multiple regression analysis & interpreting results
IAPRI Quantitative Analysis Capacity Building Series Multiple regression analysis & interpreting results How important is Rsquared? Rsquared Published in Agricultural Economics 0.45 Best article of the
More informationSPSS Resources. 1. See website (readings) for SPSS tutorial & Stats handout
Analyzing Data SPSS Resources 1. See website (readings) for SPSS tutorial & Stats handout Don t have your own copy of SPSS? 1. Use the libraries to analyze your data 2. Download a trial version of SPSS
More informationWorking with SQL Server Integration Services
SQL Server Integration Services (SSIS) is a set of tools that let you transfer data to and from SQL Server 2005. In this lab, you ll work with the SQL Server Business Intelligence Development Studio to
More informationMicrosoft Excel 2003
Microsoft Excel 2003 Data Analysis Larry F. Vint, Ph.D lvint@niu.edu 8157538053 Technical Advisory Group Customer Support Services Northern Illinois University 120 Swen Parson Hall DeKalb, IL 60115 Copyright
More informationUtilizing SASED OneDrive Cloud Storage
Utilizing SASED OneDrive Cloud Storage Technology Department 5/29/15 The purpose of this document is to provide guidance on how to transfer and access SASED documents and folders on your SASED provided
More information1. Go to your programs menu and click on Microsoft Excel.
Elementary Statistics Computer Assignment 1 Using Microsoft EXCEL 2003, follow the steps below. For Microsoft EXCEL 2007 instructions, go to the next page. For Microsoft 2010 and 2007 instructions with
More informationThe importance of graphing the data: Anscombe s regression examples
The importance of graphing the data: Anscombe s regression examples Bruce Weaver Northern Health Research Conference Nipissing University, North Bay May 3031, 2008 B. Weaver, NHRC 2008 1 The Objective
More informationSimple Methods and Procedures Used in Forecasting
Simple Methods and Procedures Used in Forecasting The project prepared by : Sven Gingelmaier Michael Richter Under direction of the Maria JadamusHacura What Is Forecasting? Prediction of future events
More informationMulticollinearity Richard Williams, University of Notre Dame, http://www3.nd.edu/~rwilliam/ Last revised January 13, 2015
Multicollinearity Richard Williams, University of Notre Dame, http://www3.nd.edu/~rwilliam/ Last revised January 13, 2015 Stata Example (See appendices for full example).. use http://www.nd.edu/~rwilliam/stats2/statafiles/multicoll.dta,
More information