Can you explain what multiple regression is?
Sure! Multiple regression is a statistical technique used to understand the relationship between one dependent variable and two or more independent variables.
How is it different from simple regression?
In simple regression, we analyze the relationship between one dependent variable and one independent variable. Multiple regression extends this by including multiple independent variables.
What are some real-world applications of multiple regression?
Multiple regression is used in various fields, such as economics for predicting sales, in healthcare for assessing risk factors, and in social sciences for understanding complex relationships.
What assumptions do we need to check for multiple regression?
Key assumptions include linearity, independence of errors, homoscedasticity, and normality of residuals.
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