The computer output shown below is for predicting foot length from hand length (in cm) for a group of women Assume the trend is linear Summary statistics for the data are shown in the table below The regression equation is y 5 67 0 998 x Pearson correlation of HandL and FootL 0 948 a Report the regression equation, using the words Hand and Foot, not x and y b Verify the slope by using the formula b r sy sx c Verify the y intercept by using the formula a y bar bx bar d Using the regression equation, predict the foot length (in cm) for someone who has a hand length of 18 cm Mean Hand, 17 682 Foot,y 23 318 Standard Deviation 1 168 1 230

Question: The computer output shown below is for predicting foot length from hand length (in cm) for a group of women. Assume the trend is linear.

The computer output shown below is for predicting foot length from hand length (in cm) for a group of women. Assume the trend is linear. Summary statistics for the data are shown in the table below.

The regression equation is
y = 5.67 + 0.998 x
Pearson correlation of HandL and FootL = 0.948
a. Report the regression equation, using the words €œHand€ and €œFoot,€ not x and y.
b. Verify the slope by using the formula b = r sy/sx.
c. Verify the y-intercept by using the formula a = y-bar €“ bx-bar.
d. Using the regression equation, predict the foot length (in cm) for someone who has a hand length of 18 cm.

Mean Hand, 17.682 Foot,y 23.318 Standard Deviation 1.168 1.230

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