5 Questions
What is the purpose of multiple linear regression?
To estimate the relationship between two or more independent variables and one dependent variable
Which assumption is important to check before developing a multiple linear regression model?
Correlation between dependent variables
What does homoscedasticity refer to in the context of multiple linear regression?
The size of the error in prediction doesn’t change significantly across the values of the independent variable
What happens if two independent variables in a multiple linear regression model are too highly correlated?
Only one of them should be used in the regression model
What type of distribution does the data need to follow for multiple linear regression?
Normal distribution
Learn the concepts and applications of multiple linear regression with this quick guide, including examples for better understanding. Understand how to estimate the relationship between multiple independent variables and one dependent variable.
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