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

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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
$Per Pupil
%Taking
DF
2
50
Parameter Estimate
514.652
0.00639
-1.49221
Standard Error of Parameter
Estimate
10.30
0.0025
0.1419
Transcribed Image Text:As part of his investigation, he ran the following multiple linear regression model SAT-M = Bo+B1($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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