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For Numbers 36 and 37: It is beneficial to be able to estimate the weight of a tree based on measurements before its harvest. It is believed that the weight of the tree is dependent on its height, in feet. To verify this, a random sample of eight trees were harvested and the height, as well as the actual weight, in kg, were recorded. A simple linear regression analysis was performed, and the results are as follows: Coefficients: Estimate Std. Error t value Pr (> [t]) (Intercept) -965.774 352.075 -2.743 0.03360. Height 6.008 4.960 0.00255. 29.800 ---- Signif. codes: 0 ***** 0.001 0.01 0.05 0.11 Residual standard error: 286.5 on 6 degrees of freedom Multiple R-squared: 0.8039, Adjusted R-squared: 0.7713 F-statistic: 24.6 on 1 and 6 DF, p-value: 0.002552 36. Which of the following is(are) TRUE? 1. For every foot increase in the tree's height, the tree's weight is expected to increase by 29.8 II. The estimated model is given by YHEIGHT= -965.774+29.8XWEIGHT A. I only B. II only C. Both I and II D. Neither I nor II 37. At 5% level of significance, the appropriate decision and conclusion to verify the claim is A. Fail to reject Ho, Weight is not linearly dependent on tree's height. B. Fail to reject Ho, Weight is linearly dependent on tree's height. C. Reject Ho, Weight is not linearly dependent on tree's height. D. Reject Ho, Weight is linearly dependent on tree's height.

For Numbers 36 and 37: It is beneficial to be able to estimate the weight of a tree based on measurements before its harvest. It is believed that the weight of the tree is dependent on its height, in feet. To verify this, a random sample of eight trees were harvested and the height, as well as the actual weight, in kg, were recorded. A simple linear regression analysis was performed, and the results are as follows: Coefficients: Estimate Std. Error t value Pr (> [t]) (Intercept) -965.774 352.075 -2.743 0.03360. Height 6.008 4.960 0.00255. 29.800 ---- Signif. codes: 0 ***** 0.001 0.01 0.05 0.11 Residual standard error: 286.5 on 6 degrees of freedom Multiple R-squared: 0.8039, Adjusted R-squared: 0.7713 F-statistic: 24.6 on 1 and 6 DF, p-value: 0.002552 36. Which of the following is(are) TRUE? 1. For every foot increase in the tree's height, the tree's weight is expected to increase by 29.8 II. The estimated model is given by YHEIGHT= -965.774+29.8XWEIGHT A. I only B. II only C. Both I and II D. Neither I nor II 37. At 5% level of significance, the appropriate decision and conclusion to verify the claim is A. Fail to reject Ho, Weight is not linearly dependent on tree's height. B. Fail to reject Ho, Weight is linearly dependent on tree's height. C. Reject Ho, Weight is not linearly dependent on tree's height. D. Reject Ho, Weight is linearly dependent on tree's height.

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 36 and 37: It is beneficial to be able to estimate the weight of a tree based on measurements before its harvest. It is believed that the weight of the tree is dependent on its height, in feet. To verify this, a random sample of eight trees were harvested and the height, as well as the actual weight, in kg, were recorded. A simple linear regression analysis was performed, and the results are as follows: Coefficients: Estimate Std. Error t value Px (>ltl) (Intercept) -965.774 352.075 -2.743 0.03360. Height 29.800 6.008 4.960 0.00255 Signif. codes: 0 ***** 0.001 0.01 0.05 0.1- Residual standard error: 286.5 on 6 degrees of freedom 0.7713 Multiple R-squared: 0.8039, Adjusted R-squared: F-statistic: 24.6 on 1 and 6 DF, D-value: 0.002552 C. Both I and II INI 36. Which of the following is(are) TRUE? 1. For every foot increase in the tree's height, the tree's weight is expected to increase by 29.8 II. The estimated model is given by YHEIGHT= -965.774+29.8XWEIGHT A. I only B. II only 37. At 5% level of significance, the appropriate decision and conclusion to verify the claim is M A. Fail to reject Ho, Weight is not linearly dependent on tree's height. B. Fail to reject Ho, Weight is linearly dependent on tree's height. C. Reject Ho, Weight is not linearly dependent on tree's height. D. Reject Ho, Weight is linearly dependent on tree's height. D. Neither I nor ll
Transcribed Image Text:For Numbers 36 and 37: It is beneficial to be able to estimate the weight of a tree based on measurements before its harvest. It is believed that the weight of the tree is dependent on its height, in feet. To verify this, a random sample of eight trees were harvested and the height, as well as the actual weight, in kg, were recorded. A simple linear regression analysis was performed, and the results are as follows: Coefficients: Estimate Std. Error t value Px (>ltl) (Intercept) -965.774 352.075 -2.743 0.03360. Height 29.800 6.008 4.960 0.00255 Signif. codes: 0 ***** 0.001 0.01 0.05 0.1- Residual standard error: 286.5 on 6 degrees of freedom 0.7713 Multiple R-squared: 0.8039, Adjusted R-squared: F-statistic: 24.6 on 1 and 6 DF, D-value: 0.002552 C. Both I and II INI 36. Which of the following is(are) TRUE? 1. For every foot increase in the tree's height, the tree's weight is expected to increase by 29.8 II. The estimated model is given by YHEIGHT= -965.774+29.8XWEIGHT A. I only B. II only 37. At 5% level of significance, the appropriate decision and conclusion to verify the claim is M A. Fail to reject Ho, Weight is not linearly dependent on tree's height. B. Fail to reject Ho, Weight is linearly dependent on tree's height. C. Reject Ho, Weight is not linearly dependent on tree's height. D. Reject Ho, Weight is linearly dependent on tree's height. D. Neither I nor ll
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