Podcast
Questions and Answers
Which equation represents the estimated regression equation in simple linear regression?
Which equation represents the estimated regression equation in simple linear regression?
- ŷ = B₂ - B,₁x
- ŷ = B + B₁x (correct)
- ŷ = B,₁x + B₂
- ŷ = B,₁x - B₂
Which assumption of simple linear regression?
Which assumption of simple linear regression?
- Random, Independence
- Linearity
- Equal Variance
- Normality + All of the above (correct)
In multiple linear regression, how is the estimated regression equation different from simple linear regression?
In multiple linear regression, how is the estimated regression equation different from simple linear regression?
- It includes multiple independent variables
- It includes multiple dependent variables
- It includes multiple slope parameters (correct)
- It includes multiple intercepts
What is the purpose of adjusted R-squared in multiple linear regression?
What is the purpose of adjusted R-squared in multiple linear regression?
What is multicollinearity in multiple linear regression?
What is multicollinearity in multiple linear regression?
What does VIF stand for in the context of multiple linear regression?
What does VIF stand for in the context of multiple linear regression?
Which equation represents a multiple linear regression model with more than one slope parameter?
Which equation represents a multiple linear regression model with more than one slope parameter?
Which of the following is an indication to use regression?
Which of the following is an indication to use regression?
What is the main difference between simple linear regression and multiple linear regression?
What is the main difference between simple linear regression and multiple linear regression?
When is regression analysis typically used?
When is regression analysis typically used?
What type of variables can the dependent variable be in linear regression analysis?
What type of variables can the dependent variable be in linear regression analysis?
