A good regression model has the fewest number of explanatory variables providing an adequate interpretation of the dependent variable. True or False

True

Explanation:

Firstly, we need to understand what a regression model is?

A regression model is a mathematical tool that is used to show the extent of agreement between the dependent and the independent. To show the extent of this agreement, it tends to take into consideration several independent variable that affect the dependent variable.

The regression model can be based on one independent variable or several independent variables. When based on one independent variable, this is a simple linear regression model. If it is a case where we are considering more than one independent variable, it is a multiple regression model.

Now a very good regression model will take into account the fewest number of dependent Batman

Answer: True

Explanation:

A regression model is used to determine the relationship between two or more variables and estimate one variable based on the others.

In statistical modeling, regression analysis is a set of statistical processes for estimating the relationships between a dependent variable and one or more independent variables.