11 Questions
Which equation represents the estimated regression equation in simple linear regression?
ŷ = B + B₁x
Which assumption of simple linear regression?
Normality + All of the above
In multiple linear regression, how is the estimated regression equation different from simple linear regression?
It includes multiple slope parameters
What is the purpose of adjusted R-squared in multiple linear regression?
To account for the number of independent variables used for predicting the target variable
What is multicollinearity in multiple linear regression?
Correlation between independent variables (correlated predictors) - VIF detection
What does VIF stand for in the context of multiple linear regression?
Variance Inflation Factor
Which equation represents a multiple linear regression model with more than one slope parameter?
Y = B + B₁x₁ + B₂x₂. + … + B x + Ɛ
Which of the following is an indication to use regression?
To characterize the relationship between y and x controlling for effects of some other variables + All of the following
What is the main difference between simple linear regression and multiple linear regression?
Simple linear regression has one independent variable, while multiple linear regression has two or more independent variables
When is regression analysis typically used?
When there is a need to predict the value of a dependent variable based on one or more independent variables
What type of variables can the dependent variable be in linear regression analysis?
Continuous or interval
Test your understanding of linear regression and regression analysis with this quiz. Explore the concepts of independent and dependent variables, as well as the indications for using regression analysis.
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