The results from a regression analysis of data collected on SAT score and current GPA for a random sample of 100 students at a large university are summarized in the partial computer output below. Term Coef SE Coef Constant SAT r=0.431 1.406 0.143 0.001340 0.000114 R² = 0.1862 Assume all conditions for inference were met. Based on the output shown, is there a statistically significant linear relationship between SAT score and current GPA for all students at this university? (A) No, because the estimated slope is very close to 0. (B) No, because the correlation is not close to -1 or 1. (C) No, because R² is quite small. (D) Yes, because the ratio of 1.406 to 0.143 is very large. (E) Yes, because the ratio of 0.001340 to 0.000114 is very large.
The results from a regression analysis of data collected on SAT score and current GPA for a random sample of 100 students at a large university are summarized in the partial computer output below. Term Coef SE Coef Constant SAT r=0.431 1.406 0.143 0.001340 0.000114 R² = 0.1862 Assume all conditions for inference were met. Based on the output shown, is there a statistically significant linear relationship between SAT score and current GPA for all students at this university? (A) No, because the estimated slope is very close to 0. (B) No, because the correlation is not close to -1 or 1. (C) No, because R² is quite small. (D) Yes, because the ratio of 1.406 to 0.143 is very large. (E) Yes, because the ratio of 0.001340 to 0.000114 is very large.
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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