The following data gives the number of employees at the bookstore and the number of minutes students wait in line to buy books at the beginning of the term. The independent variable is the number of employees and the dependent variable is the number of minutes. What is the y intercept? SSxx = 56.857; SS=2095.714; SSxy=-322.571 SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square X36899 0.96 0.93 0.91 y 67 54 47 33 31 25 12 OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error 5.48 Observations 7 ANOVA Intercept x variable 1 df Regression 1 Residual 5 Total 6 O 5.85 O-72.69 O-5.85 0.96 0.93 O 72.69 0.91 Coefficients 72.69 -5.85 SS 1945.3 150.4 2095.7 Standard Error 4.74 0.73 MS 1945.3 30.1 t Stat 15.34 -8.04 F 64.7 P-value 0.00 0.00 Significance F 0.00048117 Lower 95% 60.51 -7.72 Upper 95% 84.87 -3.98

Algebra for College Students
10th Edition
ISBN:9781285195780
Author:Jerome E. Kaufmann, Karen L. Schwitters
Publisher:Jerome E. Kaufmann, Karen L. Schwitters
Chapter8: Functions
Section8.CT: Test
Problem 19CT
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Question
The following data gives the number of employees at the bookstore and the number of minutes students wait in
line to buy books at the beginning of the term. The independent variable is the number of employees and the
dependent variable is the number of minutes. What is the y intercept?
SSxx = 56.857; SS=2095.714; SSxy=-322.571
SUMMARY
OUTPUT
Regression
Statistics
Multiple R
R Square
Adjusted R
Square
X36899
0.96
0.93
0.91
y
67
54
47
33
31
25
12
Transcribed Image Text:The following data gives the number of employees at the bookstore and the number of minutes students wait in line to buy books at the beginning of the term. The independent variable is the number of employees and the dependent variable is the number of minutes. What is the y intercept? SSxx = 56.857; SS=2095.714; SSxy=-322.571 SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square X36899 0.96 0.93 0.91 y 67 54 47 33 31 25 12
OUTPUT
Regression
Statistics
Multiple R
R Square
Adjusted R
Square
Standard Error 5.48
Observations 7
ANOVA
Intercept
x variable 1
df
Regression 1
Residual
5
Total
6
O 5.85
O-72.69
O-5.85
0.96
0.93
O 72.69
0.91
Coefficients
72.69
-5.85
SS
1945.3
150.4
2095.7
Standard
Error
4.74
0.73
MS
1945.3
30.1
t Stat
15.34
-8.04
F
64.7
P-value
0.00
0.00
Significance F
0.00048117
Lower 95%
60.51
-7.72
Upper 95%
84.87
-3.98
Transcribed Image Text:OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error 5.48 Observations 7 ANOVA Intercept x variable 1 df Regression 1 Residual 5 Total 6 O 5.85 O-72.69 O-5.85 0.96 0.93 O 72.69 0.91 Coefficients 72.69 -5.85 SS 1945.3 150.4 2095.7 Standard Error 4.74 0.73 MS 1945.3 30.1 t Stat 15.34 -8.04 F 64.7 P-value 0.00 0.00 Significance F 0.00048117 Lower 95% 60.51 -7.72 Upper 95% 84.87 -3.98
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