What is the relationship between the number of minutes per day a woman spends talking on the phone andthe woman's weight? The time on the phone and weight for 7 women are shown in the table below.Time14402476748784Pounds124122116178181174167a. Find the correlation coefficient: r =Round to 2 decimal places.b. The null and alternative hypotheses for correlation are:Ho: ? ▼Hj: ? vThe 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 contextof the study.O There is statistically insignificant evidence to conclude that there is a correlation between thetime women spend on the phone and their weight. Thus, the use of the regression line is notappropriate.O There is statistically insignificant evidence to conclude that a woman who spends more timeon the phone will weigh more than a woman who spends less time on the phone.O There is statistically significant evidence to conclude that a woman who spends more time onthe 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 thetime women spend on the phone and their weight. Thus, the regression line is useful.d. r2(Round to two decimal places)e. Interpret r? :O Given any group of women who all weight the same amount, 86% of all of these women willweigh the predicted amount.O There is a large variation in women's weight, but if you only look at women with a fixedweight, this variation on average is reduced by 86%.O 86% of all women will have the average weight.O There is a 86% chance that the regression line will be a good predictor for women's weightbased on their time spent on the phone.f. The equation of the linear regression line is:x (Please show your answers to two decimal places)g. Use the model to predict the weight of a woman who spends 36 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 For every additional minute women spend on the phone, they tend to weigh on averge 0.90additional pounds.O The slope has no practical meaning since you cannot predict a women's weight.O As x goes up, y goes up.i. Interpret the y-intercept in the context of the question:O If a woman does not spend any time talking on the phone, then that woman will weigh 100pounds.O The best prediction for the weight of a woman who does not spend any time talking on thephone is 100 pounds.The average woman's weight is predicted to be 100.O The y-intercept has no practical meaning for this study.

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