What is the importance of R-squared in regression analysis?
R-squared measures how well the independent variables explain the variability of the dependent variable in a regression model.
Can you explain what a high R-squared value indicates?
A high R-squared value indicates that a large proportion of the variance in the dependent variable is explained by the independent variables.
What are the limitations of using R-squared?
R-squared doesn't indicate causation, and a high value doesn't always mean the model is a good fit. It can be misleading.
How can I improve the R-squared value of my model?
You can improve R-squared by adding relevant variables, transforming variables, or using more complex models.
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