From the results of your regression analysis, you can conclude that the R2 value is statistically significant. You can draw this conclusion because the ________ used to test the R2 have a p-value less than .05. Group of answer choices A. unstandardized coefficient B. standardized coefficient C. t-value D. F-statistic

Which two of the of the following statements are correct regarding R2 as a tool to evaluate a regression model. Multiple answers allowed.a.The R2 is the proportion of the total variation in X that can be explained by the variation in the dependent variable in the model.b. If the R2 value is greater than 1, then it shows that the regression model is a very good fit.c.The R2 value needs to be reported in presenting regression results as it shows the relative precision of the model for the users to consider.d.R2 reflects the model’s improvement of the predicted value over the estimator of the sample mean (Y-bar).

Based on the p-value, what is your conclusion (use .05 significance level)?

In the regression below, what is the value of the R-Squared?

What is used to assess the overall accuracy of a linear regression model? R-squared p-value Mean absolute error F-statistic

The regression R2 is: a. possible to decrease when an additional explanatory variable is added. b. R S S divided by T S S. c. a measure of the goodness of fit of your regression line. d. a measure of the causal effect of X on Y.