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If there was a regression and correlational analysis where r² = 1 then we know that A. SSE must equal to zero.

What happens when r² is 1?

r² is called the coefficient of determination and when it has the value of 1 in a regression, it means that all the points on the graph fit on the line of best fit.

This means that there are no residual errors and because there are no errors, there will be no Sum of Squared Errors (SSE) which is derived from the residual error.

Options for this question are:

  • A. SSE must equal to zero
  • B. SSE can take on any negative or positive value
  • C. SSE must be greater than SS Total
  • D. SSE must be greater than one

Find out more on the Sum of Squared Errors (SSE) at https://brainly.com/question/28046641

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