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Consider the FLAG data set. The first 10 observations are given for informational purposes. CONTRACT COST...

Consider the FLAG data set. The first 10 observations are given for informational purposes.

CONTRACT

COST

DOTEST

STATUS

1

1379.43

1386.29

1

2

134.03

85.71

1

3

202.33

248.89

0

4

397.12

467.49

0

5

158.54

117.72

1

6

1128.11

1008.91

1

7

400.33

472.98

1

8

581.64

785.39

0

9

353.96

370.02

0

10

138.71

174.25

0
  1. Use Minitab to fit a model that predicts COST based on DOTEST. Paste your output here:
  2. Calculate a confidence and prediction interval for DOTEST = 110.
  3. Interpret the confidence and prediction intervals given in the output. Do you see any problems with the interpretation of the prediction interval in terms of what we are trying to predict?

d. Why are confidence intervals always more narrow than prediction intervals?

math   Statistics-And-Probability   
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Answer #1

(a)et cta ihto minidob then click on Stola-Regression-s-Regression-a-select-date The Tegression equodiolo is os Celulode_predRegression Analysis: cost versus dotest Analysis of Variance Source DF Adj SS Adj MS F-Value P-Value Regression 1 1616780 1616780 190.95 0.000 dotest 1 1616780 1616780 190.95 0.000 Error Total 67735 9 1684515 8467 Model Summary S R-sq R-sq(adj) R-sq(pred) 93.78% 92.0158 95.98% 95.48% Coefficients Term Constant -22.2 47.0-ー0.47 0.649/ dotest 0.9959 0.0721 13.920.000 1.00 Coef SE Coef T-Value P-ValueVIF 1 Regression Equation cost -22.2 0.9959 dotest Fits and Diagnostics for Unusual Observations Obs cost Fit Resid Std Resid 581.6 759.9 -178.3 10 R Current Worksheet: Worksheet 1Minitab- Untitled raph Editor Tools Window Help Assista Fits and Diagnostics for Unusual Observations Obs cost Fit Resid Std Resid 8 581.6 759.9-178.3 - -2.10 R R Large residual Prediction for cost Regression Equation cost =-22.2 + 0.9959 dotest Variable Setting dotest 110 Fit SE Fit 95% CI 95% PI 87.3107 41.0494(-7.34933, 191.971) (-145.035, 319.656)

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