Question: answer all please. Question 2 1.67/5 pts 9 7-10 ~ 4 0 Details Score on last try: 1.67 of 5 pts. See Details for more.

answer all please.

answer all please. Question 2 1.67/5 pts 9 7-10 ~ 4 0

Question 2 1.67/5 pts 9 7-10 ~ 4 0 Details Score on last try: 1.67 of 5 pts. See Details for more. Get a similar question You can retry this question below 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 7 women are shown in the table below. Time 48 17 36 62 81 75 82 Pounds 148 102 143 163 190 162 170 a. Find the correlation coefficient: r Round to 2 decimal places. b. The null and alternative hypotheses for correlation are: Ho: ?v HI : v 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. 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. 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. 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. a. The equation of the linear regression line is: y = a + (Please show your answers to two decimal places) b. Use the model to predict the weight of a woman who spends 8 minutes on the phone. Weight =

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