Coefficients: Estimate Std. Errort value Pri 352.075 -2.743 0.03360 - 6.008 4.960 0.00255 ** (Intercept) -965.774 Height 29.800 --- Signif. codes: 0 ***** 0.001 **** 0.01 0.05 *. Q.A Residual standard error: 286.5 on 6 degrees of freedom Multiple R-squared: 0.8039, Adjusted R-aquared: 0.7713 F-statistic: 24.6 on 1 and 6 DF, p-value: 0.002582 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 YHDGHT-965.774+29.8Xwm A. I only B. II only 37. At 5% level of significance, the appropriate decision and conclusion to verify the dama C. Both I and II 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 inorit
Coefficients: Estimate Std. Errort value Pri 352.075 -2.743 0.03360 - 6.008 4.960 0.00255 ** (Intercept) -965.774 Height 29.800 --- Signif. codes: 0 ***** 0.001 **** 0.01 0.05 *. Q.A Residual standard error: 286.5 on 6 degrees of freedom Multiple R-squared: 0.8039, Adjusted R-aquared: 0.7713 F-statistic: 24.6 on 1 and 6 DF, p-value: 0.002582 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 YHDGHT-965.774+29.8Xwm A. I only B. II only 37. At 5% level of significance, the appropriate decision and conclusion to verify the dama C. Both I and II 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 inorit
Functions and Change: A Modeling Approach to College Algebra (MindTap Course List)
6th Edition
ISBN:9781337111348
Author:Bruce Crauder, Benny Evans, Alan Noell
Publisher:Bruce Crauder, Benny Evans, Alan Noell
Chapter3: Straight Lines And Linear Functions
Section3.CR: Chapter Review Exercises
Problem 15CR: Life Expectancy The following table shows the average life expectancy, in years, of a child born in...
Related questions
Question
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 s
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
(Intercept) -965.774
Height
29.800
|---
352.075 -2.743 0.03360*
6.008 4.960 0.00255 **
Signif. codes: 0 ***** 0.001 **** 0.01 *** 0.05 *.* 0.
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 29.3
II. The estimated model is given by YHDGHT-965.774+29.8X
B. II only
A. I only
D. Neither inor it
37. At 5% level of significance, the appropriate decision and conclusion to verify the doma
C. Both I and II
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.
Expert Solution
This question has been solved!
Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.
Step by step
Solved in 2 steps with 1 images
Recommended textbooks for you
Functions and Change: A Modeling Approach to Coll…
Algebra
ISBN:
9781337111348
Author:
Bruce Crauder, Benny Evans, Alan Noell
Publisher:
Cengage Learning
Algebra & Trigonometry with Analytic Geometry
Algebra
ISBN:
9781133382119
Author:
Swokowski
Publisher:
Cengage
Functions and Change: A Modeling Approach to Coll…
Algebra
ISBN:
9781337111348
Author:
Bruce Crauder, Benny Evans, Alan Noell
Publisher:
Cengage Learning
Algebra & Trigonometry with Analytic Geometry
Algebra
ISBN:
9781133382119
Author:
Swokowski
Publisher:
Cengage
Algebra and Trigonometry (MindTap Course List)
Algebra
ISBN:
9781305071742
Author:
James Stewart, Lothar Redlin, Saleem Watson
Publisher:
Cengage Learning
Calculus For The Life Sciences
Calculus
ISBN:
9780321964038
Author:
GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:
Pearson Addison Wesley,