A simple linear regression is based on 100 data points. The total sum of squares is 1.5 and the correlation between the dependent and explanatory variables is 0.5. What is the explained sum of squares?
Ah, yes, the old 'Why did the linear regression model cross the road?' joke. Classic. But I'm going with option D - 0.375. It just seems more intuitive to me.
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