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 modelSAT-M = Bo+B1($Per Pupil) + (%Taking)This model was fit to the data using the method of least-squares. The following results were obtained:Sum of Squares45915.013835.1SourceModelErrorVariableConstant$Per Pupil%TakingDF250Parameter Estimate514.6520.00639-1.49221Standard Error of ParameterEstimate10.300.00250.1419

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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

Trigonometry (MindTap Course List)

8th Edition

ISBN:9781305652224

Author:Charles P. McKeague, Mark D. Turner

Publisher:Charles P. McKeague, Mark D. Turner

Chapter4: Graphing And Inverse Functions

Section: Chapter Questions

Problem 6GP: If your graphing calculator is capable of computing a least-squares sinusoidal regression model, use...

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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

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