Regression and R-squared
Regression fits a line to describe how one number depends on another. scipy.stats.linregress returns the slope, the intercept, the correlation r and a p-value for the slope. R squared (r ** 2) is the share of the variation in y that the line explains.
Examplepython
Quick check
An R squared of 0.9 means the line explains...
Your turn: write the code
Fit the line and print the slope rounded to 2 decimals.
Finish the quick check (and any code exercise) to complete this lesson, or mark it done yourself.
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