4 thoughts on “Coefficient of Correlation vs. Coefficient of Determination (Preview)”
nikiw976
Hi Jason, How do you solve the following:
Sum of squares for error is 60 and the sum of squares for regression is 140
What is the coefficient of determination =?
I am not sure what the sum of squares for regression mean in this case. Thank you
Hi Jason, How do you solve the following:
Sum of squares for error is 60 and the sum of squares for regression is 140
What is the coefficient of determination =?
I am not sure what the sum of squares for regression mean in this case. Thank you
The coefficient of determination can be calculated as follows:
R2 = SSR / SStot
Since SStot = SSR + SSE…
R2 = SSR / (SSR + SSE)
We have the values of SSR = 140 and SSE = 60,…
R2 = 140 / (140 + 60)
R2 = 0.70
jason can you check your 3330@statsdoesntsuck.com email l have an urgent question
I sent you a response.