d. Use your prediction equation to predict the amount Jenny would make in tips if she had 18 clients in one day.
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1 6.2a Homework: Fit a Linear Model to Bivariate Data Directions: For the following problems you will be drawing a line of best fit, writing a prediction equation, and using that equation to make predictions. Prior to drawing your line of best fit, determine whether you should remove any outliers from your data set. 1. The following scatter plot shows the amount of money Jenny makes in tips based on how many clients she has in a day. a. Draw a line of best fit on the scatter plot. b. Write an equation for the line of best fit you drew. c. Explain the meaning of the slope and y-intercept in the context. d. Use your prediction equation to predict the amount Jenny would make in tips if she had 18 clients in one day. 53
2 2. The following scatter plot shows the final grade in Ms. Ganchero s math class for students vs. the number of times they are absent. a. Draw a line of best fit on the scatter plot. b. Write an equation for the line of best fit you drew. c. Explain the meaning of the slope and y-intercept in the context. d. Use your prediction equation to predict the final grade of a student who is absent 16 times. e. Use your prediction equation to predict how many times a student is absent who receives a final grade of 5 in the class. 54
3 3. Bethany is interested in the relationship between the age of when men and women get married. She surveys 24 couples and asks them the age in which they got married for the first time. A scatter plot of her data is below. Age of Men Age of Women and Men at Marriage a. Describe the association between the two variables. Circle any clusters in the data. Put a star by any points that appear to be outliers. b. Provide an explanation for any clusters of data or outliers. c. Draw a line of best fit on the scatter plot. Age of Women d. Write an equation for the line of best fit you drew. e. Use your prediction equation to predict the age of a man when he gets married if the woman that he marries is
4 4. Jenna is interested in the association between the time spent studying for a test and the score that is earned. She surveys 30 people about the time they spent studying for a test and the score that they earned on the test. Her data is in the scatter plot below. Time Spent Studying vs. Test Score a. Describe the association between the two variables. Circle any clusters in the data. Put a star by any points that appear to be outliers. b. Provide an explanation for any clusters of data or outliers. c. Draw a line of best fit on the scatter plot. d. Write an equation for the line of best fit you drew. e. Explain the meaning of the slope and y-intercept of your line of best fit in the context. f. Use your prediction equation to predict the score for a person who studies for 160 minutes. g. Compare and contrast the prediction calculated using the equation with the actual data points of the people who studied for 160 minutes. h. Does the association between these two variables appear to be weak or strong? Provide an explanation regarding why the strength is this way. 56
5 5. A scatter plot given below is about the height of a toy train attached to a weather balloon. A GPS (global positioning system) records the height of the toy train about every ten minutes that it is in the air. When the train reaches the stratosphere the weather balloon pops. Height of a Toy Train a. What kind of association exists for this data? b. Would it be feasible to draw a line of best fit for this data? Why or why not. 57
6 6. The table gives data relating the number of oil changes every two years to the cost of car repairs. a. Plot the data on the graph provided, with the number of oil changes on the horizontal axis. You will need to define your own scale. Oil Changes Repair Costs $300 $300 $500 $400 $700 $400 $100 $250 $450 $650 $600 $0 $150 b. Write a sentence describing the association between the number of oil changes and the cost of car repairs. Is the association weak or strong? c. Are there any outliers or clusters that affect the data? d. Draw a line of best fit for the data. Asses how well the line fits the data. e. What is the slope of the line of best fit and what does it represent? f. What is the y-intercept of the line and what does it represent? 58
A. Test the hypothesis: The older you are, the more money you earn. Plot the data on the scatter plot below, choosing appropriate scales and labels.
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