Question: Some Haskayne students are doing consulting work for a large company in relation to the purchase of a used freighter. The students created a multiple

Some Haskayne students are doing consulting work for a large company in relation to the purchase of a used freighter. The students created a multiple variable regression with Sailing Hours, Capacity and Ship's Age as the independent variables and Price as the dependent variable and found the following results:

Which of the following is true?

A B C D E F G H SUMMARY OUTPUT 2 3 Regression Statistics 4 Multiple R 0.923942243 5 R Square 0.853669268 6 Adjusted R Square 0.707338537 7 Standard Error 0.883419814 8 Observations 7 9 10 ANOVA 11 df SS MS F Significance F 12 Regression 3 13.65870829 4.552902765 5.833834488 0.090740747 13 Residual 2.341291705 0.780430568 14 Total 16 15 16 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% 17 Intercept 8.492798537 2.061240495 4.120236605 0.025912093 1.933011341 15.05258573 1.933011341 15.05258573 18 Sailing Hours (hrs) -6.51365E-05 2.82271E-05 -2.307589907 0.104260761 -0.000154968 2.46946E-05 -0.000154968 2.46946E-05 19 Ship's Age (yrs) -0.208763859 0.131888538 -1.582880988 0.211604799 -0.62849205 0.210964331 -0.62849205 0.210964331 20 Capacity (tons) 0.02598949 0.020397282 1.274164413 0.292350442 -0.038923763 0.090902744 -0.038923763 0.090902744

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