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 90 55 54 75 57 11 83 16 Pounds 3 119 145 131 111 131 93 146 123 a. Find the correlation coefficient: T = Round to 2 decimal places. b. The null and alternative hypotheses for correlation are: Ho: RV =0 * 0 The p-value is: (Round to four decimal places) c. Use a level of significance of a = 0.05 to state the conclusion of the hypothesis test in the context of the study. There is statistically insignificant evidence to conclude that there is a correlation between the time women spend on the phone and their weight. Thus, the use of the regression line is not appropriate. O There is statistically insignificant evidence to conclude that a woman who spends more time on the phone will weigh more than a woman who spends less time on the phone. There is statistically significant evidence to conclude that there is a correlation between the time women spend on the phone and their weight. Thus, the regression line is useful. O There is statistically significant evidence to conclude that a woman who spends more time on the phone will weigh more than a woman who spends less time on the phone. d. T2 = (Round to two decimal places) e. Interpret r2 : O Given any group of women who all weight the same amount, 66% of all of these women will weigh the predicted amount. There is a 66% chance that the regression line will be a good predictor for women's weight based on their time spent on the phone. O 66% of all women will have the average weight. O There is a large variation in women's weight, but if you only look at women with a fixed weight, this variation on average is reduced by 66%. f. The equation of the linear regression line is: y = I (Please show your answers to two decimal places) g. Use the model to predict the weight of a woman who spends 60 minutes on the phone. Weight = (Please round your answer to the nearest whole number.) h. Interpret the slope of the regression line in the context of the question: O As x goes up, y goes up. O The slope has no practical meaning since you cannot predict a women's weight. O For every additional minute women spend on the phone, they tend to weigh on averge 0.62 additional pounds. i. Interpret the y-intercept in the context of the question: The best prediction for the weight of a woman who does not spend any time talking on the phone is 96 pounds. O The average woman's weight is predicted to be 96. O The y-intercept has no practical meaning for this study. Olf a woman does not spend any time talking on the phone, then that woman will weigh 96 pounds