I need help with f, g and h What is the relationship between the number of minutes per day a woman spends talking on thephone and the woman's weight? The time on the phone and weight for 8 women are shown in thetable below.Time8152526462233630Pounds119119116117128105116105a. Find the correlation coefficient: r =Round to 2 decimal places.b. The null and alternative hypotheses for correlation are:Ho: (?H: ?= 0The 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 thecontext of the study.There is statistically significant evidence to conclude that there is a correlation betweenthe time women spend on the phone and their weight. Thus, the regression line isuseful.There is statistically significant evidence to conclude that a woman who spends moretime 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 correlationbetween the time women spend on the phone and their weight. Thus, the use of theregression line is not appropriate.There is statistically insignificant evidence to conclude that a woman who spends moretime on the phone will weigh more than a woman who spends less time on the phone.d. r2 =(Round to two decimal places)e. Interpret r2 :O There is a 56% chance that the regression line will be a good predictor for women'sweight based on their time spent on the phone.56% 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 fixedweight, this variation on average is reduced by 56%.O Given any group of women who all weight the same amount, 56% of all of these womenwill weigh the predicted amount.f. The equation of the linear regression line is:=c (Please show your answers to two decimal places)g. Use the model to predict the weight of a woman who spends 40 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:As x goes up, y goes up.For every additional minute women spend on the phone, they tend to weigh on averge0.29 additional pounds.The slope has no practical meaning since you cannot predict a women's weight.i. Interpret the y-intercept in the context of the question:The average woman's weight is predicted to be 101.OIf a woman does not spend any time talking on the phone, then that woman will weigh101 pounds.OThe y-intercept has no practical meaning for this study.The best prediction for the weight of a woman who does not spend any time talking onthe phone is 101 pounds.Hint: Helpful Video on the Linear Regression Line 2 [+]Helpful Video on Correlation (+]Helpful Video on Hypothesis Tests for Correlation 2 [+]

Question

Accepted Answer

The given data is,

Time(X)
Weight(Y)

81
119

52
119

52
116

64
117

62
128

23
105

36…