F Test .pptx - F Test F Test \u2022 The F-test evaluates the null hypothesis that all regression coefficients are equal to zero versus the alternative that

F Test .pptx - F Test F Test • The F-test evaluates the...

This preview shows page 1 - 3 out of 3 pages.

F Test
Image of page 1
The F-test evaluates the null hypothesis that all regression coefficients are equal to zero versus the alternative that at least one is not. An equivalent null hypothesis is that R-squared equals zero. A significant F-test indicates that the observed R-squared is reliable and is not a spurious result of oddities in the data set. Thus the F-test determines whether the proposed relationship between the response variable and the set of predictors is statistically reliable and can be useful when the research objective is either prediction or explanation. F Test
Image of page 2
RMSE The RMSE is the square root of the variance of the residuals. It indicates the absolute fit of the model to the data–how close the observed data points are to the model’s predicted values. Whereas R-squared is a relative measure of fit, RMSE is an absolute measure of fit. As the square root of a variance, RMSE can be interpreted as the
Image of page 3

You've reached the end of your free preview.

Want to read all 3 pages?

  • Left Quote Icon

    Student Picture

  • Left Quote Icon

    Student Picture

  • Left Quote Icon

    Student Picture

Stuck? We have tutors online 24/7 who can help you get unstuck.
A+ icon
Ask Expert Tutors You can ask You can ask You can ask (will expire )
Answers in as fast as 15 minutes