CORRELATION and REGRESSION

Regression and correlation analyze linear relationships between variables, finding the regression line that best fits the data (that is, keeps the errors, the squared distances of each point from the line, to a minimum). Also notice the formula (y=55.95+-.35*x), called the “regression equation,” superimposed on the line, and the R-square ... ................
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