What would be the value of the sum of squares due to regression (SSR) if the total sum of squares (SST) is 25.32 and the sum of squares due to error (SSE) is 6.89?
Question
What would be the value of the sum of squares due to regression (SSR) if the total sum of squares (SST) is 25.32 and the sum of squares due to error (SSE) is 6.89?
Solution
To find the value of the sum of squares due to regression (SSR), we can use the formula SSR = SST - SSE.
Given that the total sum of squares (SST) is 25.32 and the sum of squares due to error (SSE) is 6.89, we can substitute these values into the formula.
SSR = 25.32 - 6.89
Now we can calculate the value of SSR.
SSR = 18.43
Therefore, the value of the sum of squares due to regression (SSR) is 18.43.
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