Coefficients 95.3031 33.6818 Error 13.9313 t Stat 6.8410 3.4785 P-value Lower 95% Upper 95% Intercept Salespersons 9.6829 SE Predicted Value 5.0314 6.6383 CI CI PI PI Predicted Lower 95% Upper 95% Lower Upper 95% Value 95% 1.0000 2.0000 128.9850 162.6668 Is there a relationship between the number of Salespersons (units-10 salespersons) at a branch office and Annual Sales (units-$100,000)? Use the e above to answer the following question. What is the P-value of the Fstat for the hypothesis that tests Ho: B1 = 0?

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Author:Amos Gilat
Publisher:Amos Gilat
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Coefficients
Error
Intercept
Salespersons
t Stat
6.8410
95.3031
13.9313
P-value
Lower 95%
Upper 95%
33.6818
9.6829
3.4785
SE
CI
Predicted
PI
Lower
Predicted
PI
Lower
Upper
95%
Upper
95%
Value
Value
95%
95%
1.0000
128.9850
5.0314
2.0000
162.6668
6.6383
Is there a relationship between the number of Salespersons (units=10 salespersons) at a branch office and Annual Sales (units=$100,000)? Use the exc
above to answer the following question.
What is the P-value of the Fstat for the hypothesis that tests Ho: B1 = 0?
a. 0 < P-value <,001
b..001 < P-value <,002
c. .0005 < P-value <.001
d. None of the answers is correct
e. 0 < P-value < .0005
QUESTION 7
Dep.- Annual Sales
Indep.- Salespersons
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Transcribed Image Text:Coefficients Error Intercept Salespersons t Stat 6.8410 95.3031 13.9313 P-value Lower 95% Upper 95% 33.6818 9.6829 3.4785 SE CI Predicted PI Lower Predicted PI Lower Upper 95% Upper 95% Value Value 95% 95% 1.0000 128.9850 5.0314 2.0000 162.6668 6.6383 Is there a relationship between the number of Salespersons (units=10 salespersons) at a branch office and Annual Sales (units=$100,000)? Use the exc above to answer the following question. What is the P-value of the Fstat for the hypothesis that tests Ho: B1 = 0? a. 0 < P-value <,001 b..001 < P-value <,002 c. .0005 < P-value <.001 d. None of the answers is correct e. 0 < P-value < .0005 QUESTION 7 Dep.- Annual Sales Indep.- Salespersons Click Save and Submit to save and submit. Click Save All Answers to save all ansuwers. MacBook Air 80 F3 000 FA F2 & $ % 3 Y E R W Q 5 2.
QUESTION 6
Dep.= Annual Sales
Indep.= Salespersons
SUMMARY OUTPUT
Regression Statistics
Multiple R
R Square
Adjusted R Square
Standard Error
Observations
26.0000
ANOVA
Significance
F
df
SS
MS
Regression
Residual
Total
268.1489
Standard
Coefficients
Error
13.9313
t Stat
6.8410
P-value
Lower 95%
Upper 95%
Intercept
Salespersons
95.3031
33.6818
9.6829
3.4785
SE
CI
CI
PI
PIl
Predicted
Predicted
Lower
Upper
Lower
Upper||
Save and Submit to save and submit. Click Save All Answwers to save all answers.
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Transcribed Image Text:QUESTION 6 Dep.= Annual Sales Indep.= Salespersons SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 26.0000 ANOVA Significance F df SS MS Regression Residual Total 268.1489 Standard Coefficients Error 13.9313 t Stat 6.8410 P-value Lower 95% Upper 95% Intercept Salespersons 95.3031 33.6818 9.6829 3.4785 SE CI CI PI PIl Predicted Predicted Lower Upper Lower Upper|| Save and Submit to save and submit. Click Save All Answwers to save all answers. MacBook Air 20 000 000 F4 F1 F3
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