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A B С D E F G H 1 WinterRain HarvestRain 160 Age 31 2 600 3 690 80 4. 502 130 Year 1952 1953 1955 1957 1958 1959 1960 5 420 1A B C D 1 Year Price 2 1952 3 4 1953 1955 1957 5 7.495 8.0393 7.6858 6.9845 6.7772 8.0757 6.5188 8.4937 6 7 1958 1959 1960 8With this assignment, the goal is to predict the price in 1989. Let us see if the price of 1989 is substantially higher thanQuestion 2 12 pts Use the variable selection process you have learnt to develop a multiple regression model. There are 5 poss

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Answer #1

Answer 1:

option B is the correct answer

Price WinterRain AGST Harvest Rain Age France pop
Price 1
WinterRain 0.136651 1
AGST 0.659563 -0.32109 1
Harvest Rain -0.56332 -0.27544 -0.0645 1
Age 0.447768 -0.01697 0.246916 -0.02801 1
France pop -0.46686 -0.00162 -0.25916 0.041264 -0.99449 1

Answer 2:

option A is the correct answer

SUMMARY OUTPUT
Regression Statistics
Multiple R 0.910691
R Square 0.829359
Adjusted R Square 0.79523
Standard Error 0.294289
Observations 25
ANOVA
df SS MS F Significance F
Regression 4 8.41852 2.10463 24.30124 1.95E-07
Residual 20 1.732118 0.086606
Total 24 10.15064
Coefficients Standard Error t Stat P-value Lower 95% Upper 95%
Intercept -0.37683 2.180432 -0.17282 0.864529 -4.92513 4.171476
France pop -5.1E-05 1.7E-05 -2.97806 0.007434 -8.6E-05 -1.5E-05
WinterRain 0.001042 0.000507 2.054751 0.053202 -1.6E-05 0.002099
AGST 0.601095 0.098978 6.073043 6.17E-06 0.394632 0.807559
Harvest Rain -0.00396 0.000852 -4.64642 0.000156 -0.00573 -0.00218
SUMMARY OUTPUT
Regression Statistics
Multiple R 0.723516
R Square 0.523476
Adjusted R Square 0.428171
Standard Error 0.491784
Observations 25
ANOVA
df SS MS F Significance F
Regression 4 5.313611 1.328403 5.492642 0.003764
Residual 20 4.837027 0.241851
Total 24 10.15064
Coefficients Standard Error t Stat P-value Lower 95% Upper 95%
Intercept 21.09789 15.46744 1.364019 0.187717 -11.1666 53.3624
Age -0.07706 0.126841 -0.60756 0.550313 -0.34165 0.187521
France pop -0.00024 0.000266 -0.90039 0.378629 -0.0008 0.000316
WinterRain -0.00015 0.000798 -0.18553 0.85468 -0.00181 0.001517
Harvest Rain -0.00473 0.001409 -3.358 0.00313 -0.00767 -0.00179
SUMMARY OUTPUT
Regression Statistics
Multiple R 0.910256
R Square 0.828566
Adjusted R Square 0.794279
Standard Error 0.294971
Observations 25
ANOVA
df SS MS F Significance F
Regression 4 8.410476 2.102619 24.16578 2.04E-07
Residual 20 1.740162 0.087008
Total 24 10.15064
Coefficients Standard Error t Stat P-value Lower 95% Upper 95%
Intercept -3.42998 1.765898 -1.94234 0.066311 -7.11358 0.253617
WinterRain 0.001076 0.000507 2.120148 0.046694 1.73E-05 0.002134
AGST 0.607209 0.098702 6.151932 5.2E-06 0.40132 0.813099
Harvest Rain -0.00397 0.000854 -4.65161 0.000154 -0.00575 -0.00219
Age 0.023931 0.008097 2.955564 0.007819 0.007041 0.040821

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