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

Question

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

Quizplus · Accepted Answer

The slope of the least squares line is the expected increase in weight for each increase in height by 1 unit (in this case, 1 inch). The slope of the given line is 6, which means that for every 1 inch increase in height, the weight is expected to increase by an average of 6 pounds.

A Regression Analysis Between Weight (Y in Pounds) and Height