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Based on the regression results, what is the predicted amount withdrawn for a male who spends 38 at the ATM machine? (please express your answer using 1 decimal places)

Based on the regression results, what is the predicted amount withdrawn for a male who spends 38 at the ATM machine? (please express your answer using 1 decimal places)

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Regression. Residual Total Intercept Seconds Female Seconds Female Coefficients 137.2 -2.05 -76.3 2.1 24161.8 32348 2728.7 5.19 525.3 Standard Error t Stat 5.89 23.51 0.635 32.2 0.86 P-value Lower 95% 91.03 -3.401 -137.33 0.67 0 0.002 0.004 -2.26 2.8 0.007 Upper 95% 185.67 -0.839 -8.07 W Based on the regression results, what is the predicted amount withdrawn for a male who spends 38 at the ATM machine? (please express your answer using 1 decimal places)
Transcribed Image Text:Regression. Residual Total Intercept Seconds Female Seconds Female Coefficients 137.2 -2.05 -76.3 2.1 24161.8 32348 2728.7 5.19 525.3 Standard Error t Stat 5.89 23.51 0.635 32.2 0.86 P-value Lower 95% 91.03 -3.401 -137.33 0.67 0 0.002 0.004 -2.26 2.8 0.007 Upper 95% 185.67 -0.839 -8.07 W Based on the regression results, what is the predicted amount withdrawn for a male who spends 38 at the ATM machine? (please express your answer using 1 decimal places)
QUESTION 16 The following results are from data concerning the amount withdrawn from an ATM machine based on the amount of time spent at the ATM machine (SECONDS) and the gender, FEMALE (dummy variable=1 for females and = 0 for males) and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 R Square Adjusted R. Square Standard Error Observations ANOVA Regression 0.503 50 df SS D MS F 2728.7 5.19 Significance F 0.004
Transcribed Image Text:QUESTION 16 The following results are from data concerning the amount withdrawn from an ATM machine based on the amount of time spent at the ATM machine (SECONDS) and the gender, FEMALE (dummy variable=1 for females and = 0 for males) and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 R Square Adjusted R. Square Standard Error Observations ANOVA Regression 0.503 50 df SS D MS F 2728.7 5.19 Significance F 0.004
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