The independent variable in a regression model is also called O regressor O response O none of these
function For an ANOVA test of significance of a regression model with 10 regressor variables and 50
observations, what is the degree of freedom of the SST? O 11 O 39 O 10 49

Question 1;

Answer

Regressor

Any variable in a regression model that is used to predict a response variable is referred to as a regressor.

A regressor is also known as a:

A variable that can be used to explain something

• a variable that is not dependent
• A variable that has been modified
• a variable that predicts
• a characteristic

Depending on the topic you're working in, all of these terms are interchangeable: statistics, machine learning, econometrics, biology, and so on.

Question 2;

Answer

49

For the simple linear regression model, the degrees of freedom associated with SSR will always be 1. SS_T is connected with n-1 = 50-1 = 49 degrees of freedom. n-2 = 50-2 = 48 is the number of degrees of freedom associated with SSE. In addition, the degrees of freedom add up to 48: 1 + 47 = 48.
SS_T = SSR + SSE = SSTO That is, 53637 = 36464 + 17173 in this case.