The following results are from data concerning the amount withdrawn from an ATM machine based on the amount of time spent at the ATM machine (SECONDS) and the gender, FEMALE (dummy variable = 1 for females and = 0 for males) and an interaction term, SECONDS*FEMALE Based on the regression results, what is the predicted amount withdrawn for a male who spends 20 at the ATM machine?

MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
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The following results are from data concerning the amount withdrawn from an ATM machine based on the amount of time spent at the ATM machine (SECONDS) and the gender, FEMALE (dummy variable = 1 for females and = 0 for males) and an interaction term, SECONDS*FEMALE Based on the regression results, what is the predicted amount withdrawn for a male who spends 20 at the ATM machine? (please express your answer using 1 decimal places)
The following results are from data concerning the amount withdrawn from an ATM machine based on the amount of time spent at the ATM machine (SECONDS) and the gender, FEMALE (dummy variable = 1 for females and =0 for males) and an interaction term,
SECONDS FEMALE
SUMMARY OUTPUT
Regression Statistics
Multiple R
0.503
R Square
Adjusted R Square
Standard Error
Observations
50
ANOVA
df
MS
Significance F
Regression
2728.7 5.19
525.3
0.004
Residual
24161.8
Total
32348
Coefficients Standard Error
t Stat P-value Lower 95%
Upper 95%
Intercept
131.2
23.51
5.89
91.03
185.67
Seconds
0.002
-2.26
-2.03
0.633
-3.401
-0.839
Female
-76.3
137.33
0.007 0.67
32.2
-8.07
Seconds Female
2.1
0.85
2.8
Based on the regression results, what is the predicted amount withdrawn for a male who spends 20 at the ATM machine? (please express your answer using 1 decimal places)
Transcribed Image Text:The following results are from data concerning the amount withdrawn from an ATM machine based on the amount of time spent at the ATM machine (SECONDS) and the gender, FEMALE (dummy variable = 1 for females and =0 for males) and an interaction term, SECONDS FEMALE SUMMARY OUTPUT Regression Statistics Multiple R 0.503 R Square Adjusted R Square Standard Error Observations 50 ANOVA df MS Significance F Regression 2728.7 5.19 525.3 0.004 Residual 24161.8 Total 32348 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Intercept 131.2 23.51 5.89 91.03 185.67 Seconds 0.002 -2.26 -2.03 0.633 -3.401 -0.839 Female -76.3 137.33 0.007 0.67 32.2 -8.07 Seconds Female 2.1 0.85 2.8 Based on the regression results, what is the predicted amount withdrawn for a male who spends 20 at the ATM machine? (please express your answer using 1 decimal places)
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