Daniel performed a simple linear regression with grade point average (GPA) as th

Question

Daniel performed a simple linear regression with grade point average (GPA) as the response variable and number of hours studied per week as the explanatory variable. Daniel wanted to estimate the average GPA for all those who study 20 hours per week. Which of the following should Daniel use?

In multiple linear regression, the p-value from the Analysis of Variance F-test is .25. The next step would be to

Researchers were interested in predicting maximal strength in collegiate women athletes. They studied 64 female athletes at the University of Georgia in 2002. The main question of interest was what factors are predictors of 1 repetition maximum of a woman athlete’s bench press. Below are some scatterplots comparing some of the variables used in the study. The correlation coefficients for these plots are -0.541, -0.011, 0.390, and 0.745. Which of the plots has a correlation coefficient of 0.390?

Explanation / Answer

Ans:

1)Correct option is

confidence interval for the mean GPA

As,perdiction interval is used for individual perdictions and not for all.

Correlation cofficient is used to tell the strength and direction of relationship.

R^2 i.e. cofficient of determination gives the goodness of fit i.e. how much of the variation in dependent variable is explained by the independent variable.

2)As,p-value is high,so result is non- significant,so the correct option is:

do nothing as none of the explanatory variables are significant predictors of the response variable.

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