question 26 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...

question 26

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.

1. Use a level of significance of α=0.05α=0.05 to state the conclusion of the hypothesis test in the context of the study.(choose 1 correct answer below)
   
   
   
   

   
   
   • 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 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.
   
   
   • 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.
   
   

   
   
   
   


2.  r2 =  ?(Round to 3 decimal places)


3.  Interpret r2 :  (choose 1 correct answer please )
   
   
   

   
   
   • 77% of all women will have the average weight.
   
   
   • 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 77%.
   
   
   • There is a 77% chance that the regression line will be a good predictor for women's weight based on their time spent on the phone.
   
   
   • Given any group of women who all weight the same amount, 77% of all of these women will weigh the predicted amount.