If the p-value of F tests in the Excel linear regression output is 0.7, then there is no statistical evidence to suggest that: O a. all individual regression coefficients are zero. O b. one or more independent variables are associated with the dependent variable. O C. all individual regression coefficients are zero; one or more independent variables are associated with the dependent variable. O d. one or more regression coefficients are zero. O e. one or more regression coefficients are not zero; one or more independent variables are associated with the dependent variable.

. Interpret your result from part​ (a) if the assumptions for regression inferences hold. Choose the correct interpretation below.     A. Presuming that the variables age and price for Corvettes satisfy the assumptions for regression​ inferences, the standard error of the estimate provides an estimate for the common population standard​ deviation, σ​, of ages for all Corvettes of any particular price.   B. Presuming that the variables age and price for Corvettes satisfy the assumptions for regression​ inferences, the standard error of the estimate provides an estimate for the​ slope, β1​, of the population regression equation for ages for all Corvettes of any particular price.   C. Presuming that the variables age and price for Corvettes satisfy the assumptions for regression​ inferences, the standard error of the estimate provides an estimate for the common population standard​ deviation, σ​, of prices for all Corvettes of any particular age.   D. Presuming that…

Select all statements that are true of the least-squares regression line. ) It assumes a linear relationship between the explanatory and the response variable. R-squared is the portion of sample variance in the explanatory variable that can be explained by variation in the response variable. ) It can be used to predict the mean response of the explanatory variable. | R-squared is the portion of sample variance in the y variable that can be explained by variation in the x variable.

Suppose that x and y are two variables of a population and that the assumptions for regression inferences are met with x as the predictor variable and y as the response variable. a. What statistic is used to estimate the slope of the population regression line? b. What statistic is used to estimate the y-intercept of the population regression line? c. What statistic is used to estimate the common conditional standard deviation of the response variable corresponding to fixed values of the predictor variable?