Jmp Output Lucille 2

4.4)

Whole Model Actual by Predicted Plot

Summary of Fit RSquare RSquare Adj Root Mean Square Error Mean of Response Observations (or Sum Wgts)

0.996125 0.995156 387.1598 4643.147 16

Analysis of Variance Source

DF

Model Error C. Total

3 12 15

Sum of Mean Square Squares 462327889 154109296 1798712 149892.68 464126602

F Ratio 1028.131 Prob > F <.0001

Parameter Estimates Term Intercept Xray BedDays Length

Estimate 1946.802 0.0385771 1.039392 -413.7578

Std Error 504.1819 0.013042 0.067556 98.59828

t Ratio 3.86 2.96 15.39 -4.20

Prob>|t| 0.0023 0.0120 <.0001 0.0012

Effect Tests Source Xray BedDays Length

Nparm

DF

1 1 1

1 1 1

Sum of Squares 1311468 35482722 2639576

F Ratio

Prob > F

8.7494 236.7208 17.6098

0.0120 <.0001 0.0012

Residual by Predicted Plot

4.20)

Bivariate Fit of Months Elapsed (y) By Total assets (x)

Linear Fit Months Elapsed (y) = 36.482113 - 0.0939352*Total assets (x)

Summary of Fit RSquare RSquare Adj Root Mean Square Error Mean of Response Observations (or Sum Wgts)

0.706906 0.690623 5.231489 19.4 20

Analysis of Variance Source

DF

Model Error C. Total

1 18 19

Sum of Mean Square Squares 1188.1674 1188.17 492.6326 27.37 1680.8000

F Ratio 43.4137 Prob > F <.0001

Parameter Estimates Term Intercept Total assets (x) 4.22)

Estimate 36.482113 -0.093935

Std Error 2.844252 0.014257

t Ratio 12.83 -6.59

Prob>|t| <.0001 <.0001

Whole Model Actual by Predicted Plot

Summary of Fit RSquare RSquare Adj Root Mean Square Error Mean of Response Observations (or Sum Wgts)

0.959727 0.951337 0.15028 8.382667 30

Analysis of Variance Source

DF

Model Error C. Total

5 24 29

Sum of Mean Square Squares 12.916568 2.58331 0.542019 0.02258 13.458587

F Ratio 114.3862 Prob > F <.0001

Parameter Estimates Term Intercept Price (x1) Avg Industry Price (x2) Advertising Expense (x3) Price Diff (x4) DB DC

Biased Biased Zeroed

Estimate 8.715414 -2.768024 1.6666921 0.4927425

Std Error 1.584933 0.414437 0.191332 0.080646

t Ratio 5.50 -6.68 8.71 6.11

Prob>|t| <.0001 <.0001 <.0001 <.0001

0 0.269496 0.4395621

0 0.06945 0.070335

. 3.88 6.25

. 0.0007 <.0001

Residual by Predicted Plot

Whole Model Actual by Predicted Plot

Summary of Fit RSquare RSquare Adj Root Mean Square Error Mean of Response Observations (or Sum Wgts)

0.893613 0.881338 0.234669 8.382667 30

Analysis of Variance Source

DF

Model Error C. Total

3 26 29

Sum of Mean Square Squares 12.026774 4.00892 1.431813 0.05507 13.458587

F Ratio 72.7973 Prob > F <.0001

Parameter Estimates Term Intercept Price (x1) Avg Industry Price (x2) Advertising Expense (x3) Price Diff (x4)

Biased Biased Zeroed

Estimate 7.5891025 -2.357723 1.6122144 0.5011517

Std Error 2.445021 0.637947 0.295353 0.125874

t Ratio 3.10 -3.70 5.46 3.98

Prob>|t| 0.0046 0.0010 <.0001 0.0005

0

0

.

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Residual by Predicted Plot

H0= b4=b5=0 Ha= H0 is false F=( (SEER-SSEF/2)/MSEF=((1.4318-.542)/2)/.02258=19.70 DF(2,24) F*=3.4 F>F* therefore we reject H0 in favor of Ha. The dummy variables are valuable in predicting y.