The above two tables are related to the variable WIND. The first is a regression table with 5-variables predicting the WIND while the second table contains the Summary statistic related to WIND data. Answer the questions (choose the most appropriate answer):

I) If you need to pick two variable and increase their value by one unit. Which two would you pick in such a way that the prediction changes by theleast amount? (10 points)

• a. Variable 2 & Variable 4
• b. Variable 1 & Variable 2
• c. Variable 2 & Variable 3
• d. Variable 1 & Variable 5
• e. Variable 4 & Variable 5

II) Based on the table there is only one variable that should be kept in this analysis. Which one? (10 points)

• a. Variable 1
• b. Variable 2
• c. Variable 3
• d. Variable 4
• e. Variable 5

III) The highest recorded WIND, based on these tables is: (10 points)

• a. 14.4
• b. -0.104
• c. 6
• d. 9.3
• e. None of these

SUMMARY OUTPUT WIND Regression Statistics Mean 9.443902 Multiple R 0.481606 Standard Error 0.223117 R Square 0.231944 Median 9.3 Adjusted R Square 0.122222 Mode 9 Standard Error 1.338494 Standard Deviation 1.428644 Observations 41 Sample Variance 2.041024 Kurtosis 0.405752 ANOVA Skewness 0.002883 of SS MS F gnificonce F Range 6.7 Regression 5 18.93614 3.787228 2.11392 0.086842 Minimum 6 Residual 35 62.70483 1.791567 Maximum 12.7 Total 40 81.64098 Sum 387.2 Count 41 Coefficientcondord Err t Stot P-volve Lower 95%Upper 959: Lower 95.0%% pper 95. 09 Intercept 14.48142 2.013495 7.19218 2.16E-08 10.3938 18.56903 10.39380452 18.56903 XVariable 1 -0.01772 0.011506 -1.54011 0.132527 -0. 04108 0.005638 -0.04107781 0.005638 X Variable 2 0.001021 0.001769 0.576885 0.567709 -0. 00257 0.004612 -0.002570919 0.004612 X Variable 3 -9.98-05 0.001547 -0.063 89 0.949424 -0.00324 0.003043 -0. 003240244 0.003043 X Variable 4 -0.10404 0.038166 -2.72609 0.009943 -0. 18153 -0.02656 -0. 181526063 -0.02656 X Variable 5 0.027355 0.020554 1.330878 0.191835 -0.01437 0.069082 -0.014372071 0.069082