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). 4. Which of the following is(are) TRUE about the test of significance on the correlation coefficient? Pearson's product-moment correlation data: weight and DBH t = 13.011, df = 6, p-value = 1.27e-05 alternative hypothesis: true correlation is not equal to 0 95 percent confidence interval: 0.9042967 0.9969877 sample estimates: cor 0.9827369 O A. There is no sufficient evidence to say that there is a linear relationship between weight and diameter at breast height. O B. There is sufficient evidence to say that there is a linear relationship between weight and diameter at breast height. O C. There is no sufficient evidence to say that weight is linearly dependent on diameter at breast height. O D. There is sufficient evidence to say that weight is linearly dependent on diameter at breast height.
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). 4. Which of the following is(are) TRUE about the test of significance on the correlation coefficient? Pearson's product-moment correlation data: weight and DBH t = 13.011, df = 6, p-value = 1.27e-05 alternative hypothesis: true correlation is not equal to 0 95 percent confidence interval: 0.9042967 0.9969877 sample estimates: cor 0.9827369 O A. There is no sufficient evidence to say that there is a linear relationship between weight and diameter at breast height. O B. There is sufficient evidence to say that there is a linear relationship between weight and diameter at breast height. O C. There is no sufficient evidence to say that weight is linearly dependent on diameter at breast height. O D. There is sufficient evidence to say that weight is 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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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).
4. Which of the following is(are) TRUE about the test of significance on the correlation coefficient?
Pearson's product-moment correlation
data: weight and DBH
t = 13.011, df = 6, p-value = 1.27e-05
alternative hypothesis: true correlation is not equal to 0
95 percent confidence interval:
0.9042967 0.9969877
sample estimates:
cor
0.9827369
O A. There is no sufficient evidence to say that there is a linear relationship between weight and diameter at breast height.
O B. There is sufficient evidence to say that there is a linear relationship between weight and diameter at breast height.
O C. There is no sufficient evidence to say that weight is linearly dependent on diameter at breast height.
O D. There is sufficient evidence to say that weight is linearly dependent on diameter at breast height.
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