What is basic regression? What is multiple regression? How do they both relate to Data Mining?

How does the interpretation of the regression coefficients differ in multiple regression and simple linear regression?

What do we mean when we say that a multiple regression model is a multiple linear regression model? What does "linear" mean here? Can we allow any "higher-order terms"? Explain.

What are some ideas for practice problems that use the regression equation?

What needs to change in an overall problem if one wants to use linear regression?

Illustrate the regression equation?

Explain what are the least-squares line and Regression?

what does regression analysis mean? What can you tell from it?

In multiple regression analysis, explain why the typical hypothesis that analysts want to test is whether a particular regression coefficient (B) is equal to zero (H0: B = 0) versus whether that coefficient is not equal to zero

how you will calculate the degrees of freedom in multiple linear regression and in simple linear regression?

What is regression R2 ? Explain both with formula and its meaning in a linear regression model? What does it mean if you have a low regression R2 ?

Explain the concept of Linear Regression with Multiple Regressors?

Provide an example of a research project in your hometown where you would choose to use linear regression. What variable would be your Y-score, and what variable would be your X-score? What does a regression line represent? What is the standard error of estimate?