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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: 38. About A. 77.62 Estimate Std. Error t value Pr (> [t|) (Intercept) -1120.865 204.571 3.951 breast height. A. 125.200 DBH Height Signif. codes: 0 ***** 0.001 **** 0.01 *** 0.05. 0.1*1 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 % in the tree's weight can be explained by tree's height and trunk diameter at 156.794 -7.149 0.000832 *** 5.140 0.003646 ** 39.803 5.673 0.696 0.517252 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 (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: 38. About A. 77.62 Estimate Std. Error t value Pr (> [t|) (Intercept) -1120.865 204.571 3.951 breast height. A. 125.200 DBH Height Signif. codes: 0 ***** 0.001 **** 0.01 *** 0.05. 0.1*1 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 % in the tree's weight can be explained by tree's height and trunk diameter at 156.794 -7.149 0.000832 *** 5.140 0.003646 ** 39.803 5.673 0.696 0.517252 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
Problem 1P
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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 38. About breast height. Estimate Std. Error t value Pr (>1t|) (Intercept) -1120.865 204.571 3.951 156.794 -7.149 0.000832 *** 5.140 0.003646 ** DBH 39.803 Height 5.673 0.696 0.517252 Signif. codes: 0 ***** 0.001 **** 0.01 *** 0.05. 0.1*1 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 A. 125.200 % in the tree's weight can be explained by tree's height and trunk diameter at B. 95.63 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 B. 311.132 D. 125.2 C. 508.682 D. 1624.547 For Numbers 40 and 41: An observational study was conducted to investigate risk factors associated with infant birth weight. The study involved 200 pregnant women who provided their the time of delivery the infant's birth weight
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 38. About breast height. Estimate Std. Error t value Pr (>1t|) (Intercept) -1120.865 204.571 3.951 156.794 -7.149 0.000832 *** 5.140 0.003646 ** DBH 39.803 Height 5.673 0.696 0.517252 Signif. codes: 0 ***** 0.001 **** 0.01 *** 0.05. 0.1*1 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 A. 125.200 % in the tree's weight can be explained by tree's height and trunk diameter at B. 95.63 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 B. 311.132 D. 125.2 C. 508.682 D. 1624.547 For Numbers 40 and 41: An observational study was conducted to investigate risk factors associated with infant birth weight. The study involved 200 pregnant women who provided their the time of delivery the infant's birth weight
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