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For Numbers 38 and 39: Suppose the tree's trunk diameter at breast height also be used to predict its weight. Hence, a multiple linear regression analysis was performed, and the results are as follows: coefficienta: 38. About breast height. A. 77.62 A. 125.200 Estimate Std. Errort value Pr (>1t|) (Intercept) -1120.865 204.571 3.951 DBR Height Signif. codes: 0 ***** 0.001 0.01 0.05 0.11 Residual standard error: 125.2 on 5 degrees of freedom Multiple R-squared: 0.9688, Adjusted R-squared: 0.9563 F-statistic: 77.62 on 2 and 5 DF, P-value: 0.000172 156,794 -7.149 0.000832** 5.140 0.003646** 39.803 5.673 0.696 0.517252 % in the tree's weight can be explained by tree's height and trunk diameter at B. 95.63 B. 311.132 C. 96.88 39. Suppose a tree was harvested and its height is equal to 50 ft. and its DBH is 7 m. The predicted weight of the tree using the estimated model is D. 125.2 C. 508.682 D. 1624.547

For Numbers 38 and 39: Suppose the tree's trunk diameter at breast height also be used to predict its weight. Hence, a multiple linear regression analysis was performed, and the results are as follows: coefficienta: 38. About breast height. A. 77.62 A. 125.200 Estimate Std. Errort value Pr (>1t|) (Intercept) -1120.865 204.571 3.951 DBR Height Signif. codes: 0 ***** 0.001 0.01 0.05 0.11 Residual standard error: 125.2 on 5 degrees of freedom Multiple R-squared: 0.9688, Adjusted R-squared: 0.9563 F-statistic: 77.62 on 2 and 5 DF, P-value: 0.000172 156,794 -7.149 0.000832** 5.140 0.003646** 39.803 5.673 0.696 0.517252 % in the tree's weight can be explained by tree's height and trunk diameter at B. 95.63 B. 311.132 C. 96.88 39. Suppose a tree was harvested and its height is equal to 50 ft. and its DBH is 7 m. The predicted weight of the tree using the estimated model is D. 125.2 C. 508.682 D. 1624.547

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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For Numbers 38 and 39: Suppose the tree's trunk diameter at breast height (DBH, in meters) can also be used to predict its weight. Hence, a multiple linear regression analysis was performed, and the results are as follows: Coefficients: *** A. 77.62 Estimate Sed. Erzort value Pr(it)) (Intercept) -1120.865 156.794 -7.149 0.000832 www. 39.803 204 571 5.140 0.003616 M 3.951 5-673 0.696 0.517252 0.01 *** OLOS - OLI A. 125.200 DBH Height 38. About % in the tree's weight can be explained by tree's height and trunk diameter at breast height. Signif. codes: TON -----0-001 Residual standard error; 125.2 on 5 degrees of freedom Multiple R-squared: 0.9688, Adjusted R-squared: 0-9563 F-statistic: 77.62 on 2 and 5 DE, p-value: 0.000172 B. 95.63 39. Suppose a tree was harvested and its height is equal to 50 ft. and its DBH is 7 m. The predicted weight of the tree using the estimated model is C. 96.88 B. 311.132 D. 125.2 C. 508.682 D. 1624.547
Transcribed Image Text:For Numbers 38 and 39: Suppose the tree's trunk diameter at breast height (DBH, in meters) can also be used to predict its weight. Hence, a multiple linear regression analysis was performed, and the results are as follows: Coefficients: *** A. 77.62 Estimate Sed. Erzort value Pr(it)) (Intercept) -1120.865 156.794 -7.149 0.000832 www. 39.803 204 571 5.140 0.003616 M 3.951 5-673 0.696 0.517252 0.01 *** OLOS - OLI A. 125.200 DBH Height 38. About % in the tree's weight can be explained by tree's height and trunk diameter at breast height. Signif. codes: TON -----0-001 Residual standard error; 125.2 on 5 degrees of freedom Multiple R-squared: 0.9688, Adjusted R-squared: 0-9563 F-statistic: 77.62 on 2 and 5 DE, p-value: 0.000172 B. 95.63 39. Suppose a tree was harvested and its height is equal to 50 ft. and its DBH is 7 m. The predicted weight of the tree using the estimated model is C. 96.88 B. 311.132 D. 125.2 C. 508.682 D. 1624.547
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