Linear Regression, Gradient Descent, Machine Learning, Data Science, Getting Started.
5.5. The correlation coefficient between these two sets of variable is about 0.89. So the line of best fit, or regression line is: y = 0.89*(5.5 / 4.07)x + b y = 1.2x + b We know that the regression line crosses the point of averages, so one point on the line is (average of x values, average of y