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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? SUMMARY OUTPUT 2 3 4 Multiple R 5 R Square 6 Adjusted R Square 7 Standard Error Regression Statistics 8 Observations 9 10 ANOVA 11 12 Regression 13 Residual 14 Total 15 16 17 Intercept 18 Sailing Hours (hrs) 19 Ship's Age (yrs) 20 Capacity (tons) 0.923942243 0.853669268 0.707338537 0.883419814 df 7 3 36 C D MS F SS 13.65870829 4.552902765 5.833834488 2.341291705 0.780430568 16 E F d) Both A and C are true Significance F 0.090740747 a) The minimum price this model predicts is $8.5 million G P-value Lower 95% Coefficients Standard Error t Stat Upper 95% Lower 95.0% Upper 95.0% 8.492798537 2.061240495 4.120236605 0.025912093 1.933011341 15.05258573 1.933011341 15.05258573 -6.51365E-05 2.82271E-05 -2.307589907 0.104260761 -0.000154968 2.46946E-05 -0.000154968 2.46946E-05 -0.208763859 0.131888538 -1.582880988 0.211604799 -0.62849205 0.210964331 -0.62849205 0.210964331 0.02598949 0.020397282 1.274164413 0.292350442 -0.038923763 0.090902744 -0.038923763 0.090902744 H b) The students should recommend the use of this model as it has an R-square of 85% c) None of the independent variables are statistically significant at the 95% confidence level

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? SUMMARY OUTPUT 2 3 4 Multiple R 5 R Square 6 Adjusted R Square 7 Standard Error Regression Statistics 8 Observations 9 10 ANOVA 11 12 Regression 13 Residual 14 Total 15 16 17 Intercept 18 Sailing Hours (hrs) 19 Ship's Age (yrs) 20 Capacity (tons) 0.923942243 0.853669268 0.707338537 0.883419814 df 7 3 36 C D MS F SS 13.65870829 4.552902765 5.833834488 2.341291705 0.780430568 16 E F d) Both A and C are true Significance F 0.090740747 a) The minimum price this model predicts is $8.5 million G P-value Lower 95% Coefficients Standard Error t Stat Upper 95% Lower 95.0% Upper 95.0% 8.492798537 2.061240495 4.120236605 0.025912093 1.933011341 15.05258573 1.933011341 15.05258573 -6.51365E-05 2.82271E-05 -2.307589907 0.104260761 -0.000154968 2.46946E-05 -0.000154968 2.46946E-05 -0.208763859 0.131888538 -1.582880988 0.211604799 -0.62849205 0.210964331 -0.62849205 0.210964331 0.02598949 0.020397282 1.274164413 0.292350442 -0.038923763 0.090902744 -0.038923763 0.090902744 H b) The students should recommend the use of this model as it has an R-square of 85% c) None of the independent variables are statistically significant at the 95% confidence level

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
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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? 1 SUMMARY OUTPUT 2 Regression Statistics 3 4 Multiple R 5 R Square 6 Adjusted R Square 7 Standard Error 8 Observations 9 10 ANOVA 11 12 Regression 13 Residual 14 Total 15 16 17 Intercept 18 Sailing Hours (hrs) 19 Ship's Age (yrs) 20 Capacity (tons) B 0.923942243 0.853669268 0.707338537 0.883419814 df 7 336 D 16 E SS MS F Significance F 13.65870829 4.552902765 5.833834488 0.090740747 2.341291705 0.780430568 F d) Both A and C are true a) The minimum price this model predicts is $8.5 million G t Stat P-value Lower 95% Coefficients Standard Error Upper 95% Lower 95.0% Upper 95.0% 8.492798537 2.061240495 4.120236605 0.025912093 1.933011341 15.05258573 1.933011341 15.05258573 -6.51365E-05 2.82271E-05 -2.307589907 0.104260761 -0.000154968 2.46946E-05 -0.000154968 2.46946E-05 -0.208763859 0.131888538 -1.582880988 0.211604799 -0.62849205 0.210964331 -0.62849205 0.210964331 0.02598949 0.020397282 1.274164413 0.292350442 -0.038923763 0.090902744 -0.038923763 0.090902744 H b) The students should recommend the use of this model as it has an R-square of 85% c) None of the independent variables are statistically significant at the 95% confidence level
Transcribed Image Text: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? 1 SUMMARY OUTPUT 2 Regression Statistics 3 4 Multiple R 5 R Square 6 Adjusted R Square 7 Standard Error 8 Observations 9 10 ANOVA 11 12 Regression 13 Residual 14 Total 15 16 17 Intercept 18 Sailing Hours (hrs) 19 Ship's Age (yrs) 20 Capacity (tons) B 0.923942243 0.853669268 0.707338537 0.883419814 df 7 336 D 16 E SS MS F Significance F 13.65870829 4.552902765 5.833834488 0.090740747 2.341291705 0.780430568 F d) Both A and C are true a) The minimum price this model predicts is $8.5 million G t Stat P-value Lower 95% Coefficients Standard Error Upper 95% Lower 95.0% Upper 95.0% 8.492798537 2.061240495 4.120236605 0.025912093 1.933011341 15.05258573 1.933011341 15.05258573 -6.51365E-05 2.82271E-05 -2.307589907 0.104260761 -0.000154968 2.46946E-05 -0.000154968 2.46946E-05 -0.208763859 0.131888538 -1.582880988 0.211604799 -0.62849205 0.210964331 -0.62849205 0.210964331 0.02598949 0.020397282 1.274164413 0.292350442 -0.038923763 0.090902744 -0.038923763 0.090902744 H b) The students should recommend the use of this model as it has an R-square of 85% c) None of the independent variables are statistically significant at the 95% confidence level
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