Question

If all the actual and estimated values of Y are same on the regression line, the sum of squares of error will be?

Answer 1

Answer:

the answer will be zero

Step-by-step explanation:

Let the actual values be y1,y2,...,yn

Let the estimated values be y^1,y^2,...,y^n

Error is actual−estimated

Given that actual and estimated values are equal.

Therefore, y1=y^1, y2=y^2 , ... , yn=y^n

sum of squares of error is (y1−y^1)2+(y2−y^2)2+...+(yn−y^n)2=0

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