(P3) Helping tags: Statistics, Analysis of Relationships Among Variables, Measures of Association, Simple and Multiple Linear Regression, Path Analysis......WILL UPVOTE, just pls help me answer the following questions in the attached image. Pls show complete solutions and explain them. Thank you! 3. It is beneficial to be able to estimate the weight of a tree based onmeasurements of the tree taken before its harvest. Measurements on twovariables were taken from a random sample of trees, which weresubsequently harvested, and the actual weight (in kg) of the productswere determined. The variables measured are trunk diameter at breastheight or DBH (measured about 4 feet from ground level; in inches),height of tree (in feet), and embryo type (monocot or dicot).Suppose that the assumptions of linear regression were satisfied. Amultiple linear regression model for predicting the weight of tree usingdiameter at breast height, height of tree, and embryo type was fitted. Thesoftware output is summarized below. Use alpha=5%.InterceptDBHheighttype_monocotEstimate-1015.442164.0089.183-161.278Multiple R-squared0.983Std. Error141.62239.6265.48688.177Adjusted R-squared0.9703tc-7.1704.1391.674-1.829p-value0.00200.01440.16950.1414p-value (model)0.0005383a) Which of the following is(are) TRUE? 51.II.There is no need to test the significance of the individual regression coefficients.The variation in the weight that is explained by diameter at breast height, height of tree, andembryo type is 98.3% while the remaining percent is explained by other factors not considered inthe model.i.ii.iii.iv.I onlyi.ii.iii.iv.II onlyBoth I and IINeither I nor IIb) What is the conclusion if the regression coefficient of the variablediameter at breast height is tested? 6Weight of tree is dependent on diameter at breast height.Weight of tree is independent with diameter at breast height.Weight of tree is linearly dependent on diameter at breast height.Weight of tree is not linearly dependent on diameter at breastheight.

a) Which of the following is(are) TRUE? 5 I. II. There is no need to test the significance of the individual regression coefficients. The variation in the weight that is explained by diameter at breast height, height of tree, and embryo type is 98.3% while the remaining percent is explained by other factors not considered in the model. i. ii. iii. iv. b) What is the conclusion if the regression coefficient of the variable diameter at breast height is tested? 6 i. I only II only Both I and II Neither I nor II ii. iii. iv. Weight of tree is dependent on diameter at breast height. Weight of tree is independent with diameter at breast height. Weight of tree is linearly dependent on diameter at breast height. Weight of tree is not linearly dependent on diameter at breast height.

a) Which of the following is(are) TRUE? 5 I. II. There is no need to test the significance of the individual regression coefficients. The variation in the weight that is explained by diameter at breast height, height of tree, and embryo type is 98.3% while the remaining percent is explained by other factors not considered in the model. i. ii. iii. iv. b) What is the conclusion if the regression coefficient of the variable diameter at breast height is tested? 6 i. I only II only Both I and II Neither I nor II ii. iii. iv. Weight of tree is dependent on diameter at breast height. Weight of tree is independent with diameter at breast height. Weight of tree is linearly dependent on diameter at breast height. Weight of tree is not linearly dependent on diameter at breast height.

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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