Answer: 0.8
Step-by-step explanation:
Given the following :
Sum of Square Error Error (SSE) = 100 which is the difference between the actual and predicted value.
Sum of Square due to regression (SSR) = 400
The Coefficient of determination (R^2) :
(Sum of Square Regression(SSR)) / Sum of Squared total (SST))
Sum of Squared total (SST) = SSE + SSR
Sum of Squared Total = (100 + 400) = 500
R^2 = 400 / 500
R^2 = 0.8
