the regression equation y = 0.842x + 37.664 correlation coefficient of r = 0.897. You want to predict what value (on will be obtained from a value of 180 as the explanatory variable.

The multiple regression describes how the mean value of y is related to the xi independent variables. The parameters ?i are used to describe how the mean value of y changes for a one-unit increase in xi when the other variables are held constant. The given estimated regression equation follows where x1 is the high-school grade point average, x2 is the SAT mathematics score, and y is the final college grade point average. ŷ = −1.38 + 0.0232x1 + 0.00482x2 If the variable x2 is held constant, then only changes in x1 will impact the predicted values of ŷ. Since the coefficient of x1 is positive, for each one-unit increase of x1, the values of ŷ will increase by the value of ?1, where ?1 = . In context, for each one point increase of the high-school grade point average, the final college grade point average will increase by this amount when the SAT mathematics score does not change. If the variable x1 is held constant, then only changes in x2 will impact the predicted values of ŷ. Since the…

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Provide an appropriate response. Based on findings from the Health and Nutrition Examination Survey conducted by the National Center for Health Statistics from April 1971 to June 1974, the regression equation predicting the average weight of a male aged 18-24 (y) based on his height (x) is given by y = -172.63 + 4.842x. (www.cdc.gov/nchs/datalad/ad 014acc.pdf) What is the best prediction for the weight of a male aged 18-24 who is 70 inches tall? Round your answer to the nearest pound. O 166 O 339 O 70