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 8 women are shown in the table below. Time 18 88 21 Pounds 98 141 119 = 0 65 33 144 101 = 34 56 109 a. Find the correlation coefficient: r = b. The null and alternative hypotheses for correlation are: Ho: ? H₁: ?0 The p-value is: 32 140 116 Round to 2 decimal places. (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. 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. O 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 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. (Round to two decimal places) d. ² e. Interpret ²: 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 71%. O Given any group of women who all weight the same amount, 71% of all of these women will weigh the predicted amount. 071% of all women will have the average weight. O There is a 71% chance that the regression line will be a good predictor for women's weight based on their time spent on the phone.