What is multiple linear regression?
Multiple linear regression is a statistical technique that models the relationship between two or more independent variables and a dependent variable.
Can you give me an example of how it's used?
Sure! For instance, it can be used to predict house prices based on features like size, location, and number of bedrooms.
What are the assumptions behind multiple linear regression?
The main assumptions include linearity, independence, homoscedasticity, and normality of residuals.
How do I check if these assumptions are met?
You can use diagnostic plots like residual plots, Q-Q plots, and statistical tests to check these assumptions.
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