Variable X Y R-squared Adjusted R-squared Coefficient 198.737 0.6704 0.9497 0.9502 A. Please interpret this regression. Std. Error 1-Statistic 12.875 0.0265 15.435 25.332 F-statistic Prob(F-statistic) Prob. 0.0566 0.0000 641.7340.0 000000
Variable X Y R-squared Adjusted R-squared Coefficient 198.737 0.6704 0.9497 0.9502 A. Please interpret this regression. Std. Error 1-Statistic 12.875 0.0265 15.435 25.332 F-statistic Prob(F-statistic) Prob. 0.0566 0.0000 641.7340.0 000000
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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![Variable
X
Y
R-squared
Adjusted R-squared
Coefficient
198.737
0.6704
0.9497
0.9502
Std. Error t-Statistic
12.875 15.435
0.0265
25.332
F-statistic
Prob(F-statistic)
A. Please interpret this regression.
B. Establish a 90% CI for B₁ & a 95% CI for B₂.
Prob.
0.0566
0.0000
641.7340.0
000000](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fc0a0eb44-0d82-4149-bd9e-63330869cded%2F7ff4832b-943e-4f9b-8af6-2f5812999629%2Fjj2pg1v_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Variable
X
Y
R-squared
Adjusted R-squared
Coefficient
198.737
0.6704
0.9497
0.9502
Std. Error t-Statistic
12.875 15.435
0.0265
25.332
F-statistic
Prob(F-statistic)
A. Please interpret this regression.
B. Establish a 90% CI for B₁ & a 95% CI for B₂.
Prob.
0.0566
0.0000
641.7340.0
000000
![I. Base on the data on mean Scholastic Aptitude Test (SAT) scores for
college-bound seniors 2000-2020. Suppose you want to predict the male
math (Y) on the basis of the female score(X), the following regression
results were obtain from EView statistical package:](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fc0a0eb44-0d82-4149-bd9e-63330869cded%2F7ff4832b-943e-4f9b-8af6-2f5812999629%2F23ybsoj_processed.jpeg&w=3840&q=75)
Transcribed Image Text:I. Base on the data on mean Scholastic Aptitude Test (SAT) scores for
college-bound seniors 2000-2020. Suppose you want to predict the male
math (Y) on the basis of the female score(X), the following regression
results were obtain from EView statistical package:
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