Model Parameters (Points) Source Value Standard Error t Pr > |t| Intercept 0.437798 5.9182 0.073948 0.9428 Hours 0.829539 0.109474 7.57748 0.0001 Analysis of Variance (Points) Source Sum of Squares Df Mean Square F Pr > |t| Model 3249.72 1 3249.72 57.42 0.0001 Error 452.779 8 56.5974 Corrected Total 3702.5 9 1. Write down the estimated regression equation that could be used to estimate the total points earned in the course given the hours spent studying. A. Y^=0.83+0.44X B. Y^=5.92+0.11X C. Y^=0.44+0.83X 1a. At the 0.05 level of significance, does hours spent studying have a significant effect on the total points earned in this course? A. Yes, because the p-value for this test is 0.0001 that is smaller than 0.05. B. No, because the p-value for this test is 0.0001 that is smaller than 0.05. C. Yes, because the p-value for this test is 0.9429 that is greater than 0.05. D. No, because the p-value for this test is 0.9429 that is greater than 0.05. 1b. Find the standard error of the estimate. A. Standard error of estimate = 57.42 B. Standard error of estimate = 57.42 = 7.58 C. None of the above D. Standard error of estimate = 3249.72 = 57.00 E. Standard error of estimate = 56.5974 = 7.5231
Model Parameters (Points) Source Value Standard Error t Pr > |t| Intercept 0.437798 5.9182 0.073948 0.9428 Hours 0.829539 0.109474 7.57748 0.0001 Analysis of Variance (Points) Source Sum of Squares Df Mean Square F Pr > |t| Model 3249.72 1 3249.72 57.42 0.0001 Error 452.779 8 56.5974 Corrected Total 3702.5 9 1. Write down the estimated regression equation that could be used to estimate the total points earned in the course given the hours spent studying. A. Y^=0.83+0.44X B. Y^=5.92+0.11X C. Y^=0.44+0.83X 1a. At the 0.05 level of significance, does hours spent studying have a significant effect on the total points earned in this course? A. Yes, because the p-value for this test is 0.0001 that is smaller than 0.05. B. No, because the p-value for this test is 0.0001 that is smaller than 0.05. C. Yes, because the p-value for this test is 0.9429 that is greater than 0.05. D. No, because the p-value for this test is 0.9429 that is greater than 0.05. 1b. Find the standard error of the estimate. A. Standard error of estimate = 57.42 B. Standard error of estimate = 57.42 = 7.58 C. None of the above D. Standard error of estimate = 3249.72 = 57.00 E. Standard error of estimate = 56.5974 = 7.5231
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
Model Parameters (Points)
| Source | Value | Standard Error | t | Pr > |t| |
| Intercept | 0.437798 | 5.9182 | 0.073948 | 0.9428 |
| Hours | 0.829539 | 0.109474 | 7.57748 | 0.0001 |
Analysis of Variance (Points)
| Source | Sum of Squares | Df | Mean Square | F | Pr > |t| |
| Model | 3249.72 | 1 | 3249.72 | 57.42 | 0.0001 |
| Error | 452.779 | 8 | 56.5974 | ||
| Corrected Total | 3702.5 | 9 |
1. Write down the estimated regression equation that could be used to estimate the total points earned in the course given the hours spent studying.
A. Y^=0.83+0.44X
B. Y^=5.92+0.11X
C. Y^=0.44+0.83X
1a. At the 0.05 level of significance, does hours spent studying have a significant effect on the total points earned in this course?
A. Yes, because the p-value for this test is 0.0001 that is smaller than 0.05.
B. No, because the p-value for this test is 0.0001 that is smaller than 0.05.
C. Yes, because the p-value for this test is 0.9429 that is greater than 0.05.
D. No, because the p-value for this test is 0.9429 that is greater than 0.05.
1b. Find the standard error of the estimate.
A. Standard error of estimate = 57.42
B. Standard error of estimate = 57.42 = 7.58
C. None of the above
D. Standard error of estimate = 3249.72 = 57.00
E. Standard error of estimate = 56.5974 = 7.5231
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