Question 4 Match each scatterplot shown below with one of the four specified correlations. a. 0.78 b. -0.92 C. 0.16 d. -0.43 O O Q O 88 090 - v LO O O O - v 8090 coco O O Hint: HelpQuestion 4 Match each scatterplot shown below with one of the four specified correlations. a. 0.78 b. -0.92 C. 0.16 d. -0.43 O O Q O 88 090 - v LO O O O - v 8090 coco O O Hint: HelpQuestion 6 The following table shows retail sales in drug stores in billions of dollars in the U.S. for years since 1995. Year Retail Sales 0 85.851 108.426 6 141.781 9 169.256 12 202.297 15 222.266 Let S(t) be the retails sales in billions of dollars in t years since 1995. A linear model for the data is F(t) - 9.44t + 84.182. 220- 210- 200 190 180- 170 110 100 12 Use the above scatter plot to decide whether the linear model fits the data well. O The function is not a good model for the data The function is a good model for the data. Estimate the retails sales in the U. S. in 2012. billions of dollars. Use the model to predict the year that corresponds to retails sales of $237 billion. Hint: Help Submit QuestionQuestion 6 The following table shows retail sales in drug stores in billions of dollars in the U.S. for years since 1995. Year Retail Sales 0 85.851 108.426 6 141.781 9 169.256 12 202.297 15 222.266 Let S(t) be the retails sales in billions of dollars in t years since 1995. A linear model for the data is F(t) - 9.44t + 84.182. 220- 210- 200 190 180- 170 110 100 12 Use the above scatter plot to decide whether the linear model fits the data well. O The function is not a good model for the data The function is a good model for the data. Estimate the retails sales in the U. S. in 2012. billions of dollars. Use the model to predict the year that corresponds to retails sales of $237 billion. Hint: Help Submit QuestionQuestion 8 A regression analysis was performed to determine if there is a relationship between hours of TV watched per day (x) and number of sit ups a person can do (y). The results of the regression were: Ymax+b am-0 .699 b-36 . 23 2-0. 958441 5--0 .979 Use this to predict the number of sit ups a person who watches 3 hours of TV can do, and please round your answer to a whole number. Hint: Help Submit QuestionQuestion 8 A regression analysis was performed to determine if there is a relationship between hours of TV watched per day (x) and number of sit ups a person can do (y). The results of the regression were: Ymax+b am-0 .699 b-36 . 23 2-0. 958441 5--0 .979 Use this to predict the number of sit ups a person who watches 3 hours of TV can do, and please round your answer to a whole number. Hint: Help Submit Question. Question 9 A regression was run to determine if there is a relationship between hours of study per week (z) and the final exam scores (y). The results of the regression were: 6-5 - 178 15-31 .4 -0. 962361 -0 - 981 Use this to predict the final exam score of a student who studies 8 hours per week, and please round your answer to a whole number. Hint: Help Submit Question. Question 9 A regression was run to determine if there is a relationship between hours of study per week (z) and the final exam scores (y). The results of the regression were: 6-5 - 178 15-31 .4 -0. 962361 -0 - 981 Use this to predict the final exam score of a student who studies 8 hours per week, and please round your answer to a whole number. Hint: Help Submit QuestionQuestion 10 The table below shows the number of state-registered automatic weapons and the murder rate for several Northwestern states, 11.5 8.4 6.7 3.6 2.5 2.7 2.2 0.6 13.9 10.9 9.5 17.4 6.1 5.7