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No it doesn't. Cause and effect is not demonstrated with regression, it only shows that the variables differ together. One variable could be affecting another or the affects could be coming from the way the data is defined.

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16y ago

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What does r squared mean in a regression analysis?

R-squared, or the coefficient of determination, measures the proportion of variance in the dependent variable that can be explained by the independent variable(s) in a regression model. It ranges from 0 to 1, where 0 indicates that the model explains none of the variability and 1 indicates that it explains all the variability. A higher R-squared value suggests a better fit of the model to the data, but it does not imply causation. Additionally, R-squared should be interpreted in context, as a high value may not always indicate a meaningful or useful model.


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What is a measure of the explanatory power of the regression model?

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