answersLogoWhite

0

The coefficient, also commonly known as R-square, is used as a guideline to measure the accuracy of the model.

User Avatar

Wiki User

13y ago

Still curious? Ask our experts.

Chat with our AI personalities

TaigaTaiga
Every great hero faces trials, and you—yes, YOU—are no exception!
Chat with Taiga
JudyJudy
Simplicity is my specialty.
Chat with Judy
EzraEzra
Faith is not about having all the answers, but learning to ask the right questions.
Chat with Ezra

Add your answer:

Earn +20 pts
Q: What does the coefficient of determination explain in regression?
Write your answer...
Submit
Still have questions?
magnify glass
imp
Continue Learning about Statistics

What is numerical range of regression coefficient?

ɪf the regresion coefficient is the coefficient of determination, then it's range is between 0 or 1. ɪf the regression coefficient is the correaltion coefficient (which i think it is) the it must lie between -1 or 1.


If the coefficient of determination for a data set containing 12 points is 0.5 6 of the data points must lie on the regression line for the data set.?

That is not true. It is possible for a data set to have a coefficient of determination to be 0.5 and none of the points to lies on the regression line.


How do you determine coefficient of determination in excel?

= CORREL(x values,y values) ***clarification**** CORREL gives you the correlation coefficient (r), which is different than the coefficient of determination (R2) outside of simple linear regression situations.


Can A regression equation have a negative coefficient of correlation and a negative coefficient of determination?

It's not quite possible for the coefficient of determination to be negative at all, because of its definition as r2 (coefficient of correlation squared). The coefficient of determination is useful since tells us how accurate the regression line's predictions will be but it cannot tell us which direction the line is going since it will always be a positive quantity even if the correlation is negative. On the other hand, r (the coefficient of correlation) gives the strength and direction of the correlation but says nothing about the regression line equation. Both r and r2 are found similarly but they are typically used to tell us different things.


How is coefficient of determination and coefficient of correlation is related?

coefficient of determination