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Author Question: In a random sample of eight college women, each was asked her height (to the nearest inch) and her ... (Read 148 times)

nenivikky

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on: Jul 24, 2018
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


tsternbergh47

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Reply #1 on: Jul 24, 2018
Answer to Question 1

1

Answer to Question 2

2


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