Explain F-ratio in relation to R2.
What will be an ideal response?
Ans: The F-ratio is R2/(1?R2) * dferror/dfregression. R2 is the proportion of variability in the outcome variable explained by regression; that is, ssregression/sstotal.dfregression is the number of predictor variables in the regression equaton and dferror is the number of predictors that would be required to explain the remaining variability in the outcome variable. The F-ratio increases as R2 increases, and as dferror increases, while dfregression remains constant.
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What will be an ideal response?