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Complete question:

If sum of squares due to regression (SSR) is found to be 14,200 and sum of squares error (SSE) is 1525, then what is the value of total sum of squares (SST) ?

Answer:

The value of total sum of squares (SST) is 15,725.

Step-by-step explanation:

Given;

sum of squares due to regression (SSR) = 14,200

sum of squares error (SSE) =  1525

sum of squares (SST) = ?

The total sum of squares (SST) is given as the summation of the sum of squares due to regression (SSR) and sum of squares error (SSE);

SST = SSR + SSE

Substitute the given values and solve for SST.

SST = 14,200 + 1525

SST = 15,725

Therefore, the value of total sum of squares (SST) is 15,725.

fichoh

The value of the total sum of square (SST) is the sum of the sum of square Regression (SSR) and the Sum of Square Error (SSE). Hence, the Total sum of Square , SST is 15725

Given the Parameters :

  • Sum of square Error (SSE) = 1525

  • Sum of square Regression (SSR) = 14200

The Total Sum of Square (SST) is defined thus :

  • SST = SSE + SSR

SST = 1525 + 14200

SST = 15,725

Therefore, the Total Sum of Square for the analysis of variance relationship ls 15,725.

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