Question

(2 points) the error variable e is a constant no matter what the value of x is. When this requirement is violated, the The least squares method requires that the variance condition is called: A. heteroscedasticity OB. homoscedasticity OC. non-independence of e OD. influential observation In the simple linear regression model, the slope represents the: A. change in y per unit change in x B. change in x per unit change in y C. value of x when y = 0 OD. value of y when x = 0

Answer 1

Hello Sir/ Mam

Q - 1 - YOUR REQUIRED ANSWER IS OPTION A : Heteroskedasticity

Heteroskedasticity means a condition in which variability of a variable is unequal giving rise to a cone-like shape which means that the error term is not constant.

Q - 2 - OPTION A : change in y per unit of x

We know that:

y = mx+c

Hence, slope represent change in y per change in unit of x.

I hope this clear your doubt.

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