A regression analysis between weight (y in pounds) and height (x in inches) resulted in the following least squares line: $\hat { y } = 135 + 6 x$ . This implies that if the height is increased by 1 inch, the weight is expected to increase by an average of 6 pounds.

Question

Quizplus · Accepted Answer

The coefficient of x (6) in the regression equation represents the average change in the dependent variable (weight) for each one-unit increase in the independent variable (height).

A Regression Analysis Between Weight (Y in Pounds) and Height y^=135+6x\hat { y } = 135 + 6 xy^​=135+6x

A Regression Analysis Between Weight (Y in Pounds) and Height $\hat { y } = 135 + 6 x$