coefficient of the variable %Taking. And state the F statistic if we wanted to test the hypotheses Ho=B1=B2=0 versus H1: atleast one of the B is not 0, using an ANOVA f tes
coefficient of the variable %Taking. And state the F statistic if we wanted to test the hypotheses Ho=B1=B2=0 versus H1: atleast one of the B is not 0, using an ANOVA f tes
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
State the interpretation for B2, the coefficient of the variable %Taking. And state the F statistic if we wanted to test the hypotheses Ho=B1=B2=0 versus H1: atleast one of the B is not 0, using an ANOVA f test.
![As part of his investigation, he ran the following multiple linear regression model
SAT-M = Bo+B1($Per Pupil) + (%Taking)
This model was fit to the data using the method of least-squares. The following results were obtained:
Sum of Squares
45915.0
13835.1
Source
Model
Error
Variable
Constant
$Per Pupil
%Taking
DF
2
50
Parameter Estimate
514.652
0.00639
-1.49221
Standard Error of Parameter
Estimate
10.30
0.0025
0.1419](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F7b29645a-0ab1-430e-8068-eacf63f4d25e%2F5132f9f3-2b8b-48eb-8948-346fdf195c74%2F8uipj8w_processed.png&w=3840&q=75)
Transcribed Image Text:As part of his investigation, he ran the following multiple linear regression model
SAT-M = Bo+B1($Per Pupil) + (%Taking)
This model was fit to the data using the method of least-squares. The following results were obtained:
Sum of Squares
45915.0
13835.1
Source
Model
Error
Variable
Constant
$Per Pupil
%Taking
DF
2
50
Parameter Estimate
514.652
0.00639
-1.49221
Standard Error of Parameter
Estimate
10.30
0.0025
0.1419
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