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The total expenses of a hospital (dependent variable) are related to many factors. One of these factors is the number of admissions to the hospital (independent variable). Using the summary output below to answer, what is the meaning (analysis) of the X variable B1? SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations ANOVA Regression Residual Total 0.98706 0.974288 0.972145 df 8.106794 14 Coefficients 1 12 13 SS 29883.07 788.6412 30671.71 Standard Error MS 29883.07 65.7201 t Stat F 454.7022 P-value Significance F 6.59E-11 Lower 95% 50070 Upper 95% 0.50000

The total expenses of a hospital (dependent variable) are related to many factors. One of these factors is the number of admissions to the hospital (independent variable). Using the summary output below to answer, what is the meaning (analysis) of the X variable B1? SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations ANOVA Regression Residual Total 0.98706 0.974288 0.972145 df 8.106794 14 Coefficients 1 12 13 SS 29883.07 788.6412 30671.71 Standard Error MS 29883.07 65.7201 t Stat F 454.7022 P-value Significance F 6.59E-11 Lower 95% 50070 Upper 95% 0.50000

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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Coefficients Standard Error Intercept 1.518053 Admissions 0.668591 A) is the value of Expenses with one unit increase in Admissions O B) is the value of Expenses when Admissions is 0 or not an impact C) represents significance when compared to .05 level of significance OD) is the variance in Expenses that is accounted for by Admissions OE) is the strength and direction of the relationship 3.248929 0.031354 t Stat 0.467247 21.32375 P-value 0.648693 6.59E-11 Lower 95% -5.56075 0.600276 Upper 95% 8.59686 0.736907
Transcribed Image Text:Coefficients Standard Error Intercept 1.518053 Admissions 0.668591 A) is the value of Expenses with one unit increase in Admissions O B) is the value of Expenses when Admissions is 0 or not an impact C) represents significance when compared to .05 level of significance OD) is the variance in Expenses that is accounted for by Admissions OE) is the strength and direction of the relationship 3.248929 0.031354 t Stat 0.467247 21.32375 P-value 0.648693 6.59E-11 Lower 95% -5.56075 0.600276 Upper 95% 8.59686 0.736907
The total expenses of a hospital (dependent variable) are related to many factors. One of these factors is the number of admissions to the hospital (independent variable). Using the summary output below to answer, what is the meaning (analysis) of the X variable B1? SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations ANOVA Regression Residual Total 0.98706 0.974288 0.972145 df 8.106794 Coefficients 14 1 12 13 519053 SS 29883.07 788.6412 30671.71 Standard Error 3.248929 MS 29883.07 65.7201 t Stat 0467247 F 454.7022 P-value 0 648693 Significance F 6.59E-11 Lower 95% -5.56075 Upper 95% 8.59686
Transcribed Image Text:The total expenses of a hospital (dependent variable) are related to many factors. One of these factors is the number of admissions to the hospital (independent variable). Using the summary output below to answer, what is the meaning (analysis) of the X variable B1? SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations ANOVA Regression Residual Total 0.98706 0.974288 0.972145 df 8.106794 Coefficients 14 1 12 13 519053 SS 29883.07 788.6412 30671.71 Standard Error 3.248929 MS 29883.07 65.7201 t Stat 0467247 F 454.7022 P-value 0 648693 Significance F 6.59E-11 Lower 95% -5.56075 Upper 95% 8.59686
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