What is the relationship between the number of minutes per day a woman spends talking on the phone and the woman's weight? The time on the phone and weight for 9 women are shown in the table below. Time 45 21 72 53 36 12 39 81 57 Weight 120 115 188 130 125 141 135 150 149 Helpful Videos:Finding the EquationLinks to an external site., Interpreting the CorrelationLinks to an external site., Testing for CorrelationLinks to an external site. HintLinks to an external site. Textbook PagesLinks to an external site. A. r = ["", "", "", "", ""] B. r2 = ["", "", "", "", ""] C. Find the equation of the least squares regression line: �^ = ["", "", "", ""] + ["", "", "", ""] x D. What does the regression line predict for the weight of a woman who spends 50 minutes per day talking on the phone? ["", "", "", ""] pounds. E. Test the hypothesis that there is a linear correlation between the amount of time women talk on the phone and women's weight. Use a level of significance of 0.05. H0: r = 0 Ha: r Not Equal to 0 p-Value = ["", "", "", ""] ["", ""]
What is the relationship between the number of minutes per day a woman spends talking on the phone and the woman's weight? The time on the phone and weight for 9 women are shown in the table below.
| Time | 45 | 21 | 72 | 53 | 36 | 12 | 39 | 81 | 57 |
| Weight | 120 | 115 | 188 | 130 | 125 | 141 | 135 | 150 | 149 |
Helpful Videos:Finding the EquationLinks to an external site., Interpreting the CorrelationLinks to an external site., Testing for CorrelationLinks to an external site.
HintLinks to an external site.
Textbook PagesLinks to an external site.
A. r = ["", "", "", "", ""]
B. r2 = ["", "", "", "", ""]
C. Find the equation of the least squares regression line:
�^ = ["", "", "", ""] + ["", "", "", ""] x
D. What does the regression line predict for the weight of a woman who spends 50 minutes per day talking on the phone? ["", "", "", ""] pounds.
E. Test the hypothesis that there is a
H0: r = 0
Ha: r Not Equal to 0
p-Value = ["", "", "", ""]
["", ""]
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