In a random sample of eight college women, each was asked her height (to the nearest inch) and her weight (to the nearest five pounds). Part of the Minitab output obtained is shown below.
Regression Analysis: weight versus height
Predictor Coef SE Coef T P
Constant -182.81 66.55 -2.75 0.033
height 4.635 1.007 4.60 0.004
S = 9.86673 R-Sq = 77.9 R-Sq(adj) = 74.3
What is the regression equation?
1. = 4.635x 182.81
2. = 182.81x + 4.635
3. = 66.55x + 1.007
4. = 1.007x + 66.55
Question 2
The least squares criterion requires that _____.
1.the sum of squared differences between the actual y's and the average y's be minimized
2.the sum of the squared differences between the actual y's and the predicted y's be as small as possible
3.the sum of the squared differences between the actual y's and the predicted y's be as large as possible
4.the sum of the differences between the actual y's and the predicted y's be as small as possible
Height and weight table
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