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For items 1 to 6: It is beneficial to be able to estimate the weight of a tree based on measurements of the tree taken before its harvest. Measurements on two variables were taken from a random sample of trees, which were subsequently harvested, and the actual weight (in kg) of the products were determined. The variables measured are trunk diameter at breast height or DBH (measured about 4 feet from ground level; in inches), height of tree (in feet), and embryo type (monocot or dicot). 2. Assume that weight and diameter at breast height are bivariate normal. The use of the parametric correlation analysis on these two variables is valid because O A. the independent and dependent variables are identified O B. the variables are measured in ordinal level O C. the collected data are quantitative in nature O D. one variable will predict the other variable

For items 1 to 6: It is beneficial to be able to estimate the weight of a tree based on measurements of the tree taken before its harvest. Measurements on two variables were taken from a random sample of trees, which were subsequently harvested, and the actual weight (in kg) of the products were determined. The variables measured are trunk diameter at breast height or DBH (measured about 4 feet from ground level; in inches), height of tree (in feet), and embryo type (monocot or dicot). 2. Assume that weight and diameter at breast height are bivariate normal. The use of the parametric correlation analysis on these two variables is valid because O A. the independent and dependent variables are identified O B. the variables are measured in ordinal level O C. the collected data are quantitative in nature O D. one variable will predict the other variable

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 items 1 to 6: It is beneficial to be able to estimate the weight of a tree based on measurements of the tree taken before its harvest. Measurements on two variables were taken from a random sample of trees, which were subsequently harvested, and the actual weight (in kg) of the products were determined. The variables measured are trunk diameter at breast height or DBH (measured about 4 feet from ground level; in inches), height of tree (in feet), and embryo type (monocot or dicot). 2. Assume that weight and diameter at breast height are bivariate normal. The use of the parametric correlation analysis on these two variables is valid because O A. the independent and dependent variables are identified O B. the variables are measured in ordinal level O C. the collected data are quantitative in nature O D. one variable will predict the other variable
Transcribed Image Text:For items 1 to 6: It is beneficial to be able to estimate the weight of a tree based on measurements of the tree taken before its harvest. Measurements on two variables were taken from a random sample of trees, which were subsequently harvested, and the actual weight (in kg) of the products were determined. The variables measured are trunk diameter at breast height or DBH (measured about 4 feet from ground level; in inches), height of tree (in feet), and embryo type (monocot or dicot). 2. Assume that weight and diameter at breast height are bivariate normal. The use of the parametric correlation analysis on these two variables is valid because O A. the independent and dependent variables are identified O B. the variables are measured in ordinal level O C. the collected data are quantitative in nature O D. one variable will predict the other variable
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