What does the regression equation y = .514x + 3.880 tell us? How would interpret the coefficient of determination: .264?

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Mar 18, 2018

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see below.

Explanation:

First, as we can see, these regression equations is linear form. #0.514# is coeficient for variable #x# while #3.880# is constant coefficient. Value of #y# increase with the rate of #0.514# when value of #x# increase too. The y-intercept is #0.3880#

Coefficient of determination, known as #R^2# is proportion of variance for dependent variable, #y# explained by independent variable, #x# in this case.

Since the R squared are #0.264#, then #26.4%# of points fall within the regression line. We can say the model poor fit to data.

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