O a. (68.5533, 71.6845) O b. None of the answers is correct Oc. (72.5357, 79.1867) Od. (74.8229, 76.8995) e. (73.3375, 78.3849)

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
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Question
Regression
Residual
11.0000
0.0000
3.0942
Total
Standard
Error
11.7925
0.1680
Coefficients
t Stat
Intercept
% WRK
P-value Lower 95% Upper 95%
0,0001
0,0000
SE
Predicted
CI
PI
Lower
PI
Predicted
xol
Lower
Upper
95%
Upper
Value
Value
95%
95%
95%
67.0000
72.0000|
76.0000||
65.6122
0.7201
75.8612
84.0603
0.5781
1.0964
Is there a relationship between the percent of management jobs held by men in a company (% MGT) and the percent of men working in a compan
on this paragraph of text, use the correct excel output above to answer the following question.
What is the 90% prediction interval for an individual value of y when xo = 72 (without units)?
a. (68.5533, 71.6845)
b. None of the answers is correct
Oc. (72.5357, 79.1867)
d. (74.8229, 76.8995)
e. (73.3375, 78.3849)
Eck Save and Submit to save and submit. Click Save All Answers to save all ansuers.
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Transcribed Image Text:Regression Residual 11.0000 0.0000 3.0942 Total Standard Error 11.7925 0.1680 Coefficients t Stat Intercept % WRK P-value Lower 95% Upper 95% 0,0001 0,0000 SE Predicted CI PI Lower PI Predicted xol Lower Upper 95% Upper Value Value 95% 95% 95% 67.0000 72.0000| 76.0000|| 65.6122 0.7201 75.8612 84.0603 0.5781 1.0964 Is there a relationship between the percent of management jobs held by men in a company (% MGT) and the percent of men working in a compan on this paragraph of text, use the correct excel output above to answer the following question. What is the 90% prediction interval for an individual value of y when xo = 72 (without units)? a. (68.5533, 71.6845) b. None of the answers is correct Oc. (72.5357, 79.1867) d. (74.8229, 76.8995) e. (73.3375, 78.3849) Eck Save and Submit to save and submit. Click Save All Answers to save all ansuers. MacBook Air 000 000 EA F3 F2 2$ 5 6. 3 Y 2.
Dep.= % WRK
Indep.=% MGT
SUMMARY OUTPUT
Regression Statistics
Multiple R
R Square
Adjusted R Square
Standard Error
Observations
ANOVA
Significance
df
SS
MS
F
Regression
Residual
Total
0.0000
11.0000
0.6858
Standard
Error
2.6928
0.0372
Coefficients
t Stat
P-value Lower 95% Upper 95%
Intercept
% MGT
0.0000
0.0000
SE
CI
PI
PI
Predicted
Value
Predicted
Upper
95%
Lower
Upper
95%
Lower
95%
Value
67.8474
95%
67.0000
0.3390
Click Save and Submit to save and submit. Click Save All Answers to save all answers.
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Transcribed Image Text:Dep.= % WRK Indep.=% MGT SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations ANOVA Significance df SS MS F Regression Residual Total 0.0000 11.0000 0.6858 Standard Error 2.6928 0.0372 Coefficients t Stat P-value Lower 95% Upper 95% Intercept % MGT 0.0000 0.0000 SE CI PI PI Predicted Value Predicted Upper 95% Lower Upper 95% Lower 95% Value 67.8474 95% 67.0000 0.3390 Click Save and Submit to save and submit. Click Save All Answers to save all answers. MacBook Air 000 a00 FA FI F2 F3
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