If SSR is 1800 and SSE is 200,then R2 is .90.

Question

Quizplus · Accepted Answer

R2 is calculated by dividing SSR (the sum of squares of regression) by the total variance (SST) which is the sum of squared deviations of the response variable from its mean.

R2 = SSR/SST

Given that SSR is 1800 and SSE (the sum of squares of error/residuals) is 200, we can calculate SST as:

SST = SSR + SSE

SST = 1800 + 200

SST = 2000

Therefore,

R2 = SSR/SST = 1800/2000 = 0.90

Hence, the statement "If SSR is 1800 and SSE is 200, then R2 is .90." is true.

If SSR Is 1800 and SSE Is 200,then R2 Is