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 the summary output below to answer, what is the meaning (analysis) of the Intercept Bo? SUMMARY OUTPUT Multiple R R Square Adjusted R Square Standard Error Observations ANOVA Regression Residual Total Regression Statistics Intercept Admissions df 0.98706 0.974288 0.972145 8.106794 14 Coefficients 1 12 13 1.518053 0.660504 SS 29883.07 788.6412 30671.71 Standard Error 3.248929 MS 29883.07 65.7201 t Stat 0.467247 F 454.7022 P-value 0.648693 Significance F 6.59E-11 Lower 95% -5.56075 Upper 95% 8.59
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 the summary output below to answer, what is the meaning (analysis) of the Intercept Bo? SUMMARY OUTPUT Multiple R R Square Adjusted R Square Standard Error Observations ANOVA Regression Residual Total Regression Statistics Intercept Admissions df 0.98706 0.974288 0.972145 8.106794 14 Coefficients 1 12 13 1.518053 0.660504 SS 29883.07 788.6412 30671.71 Standard Error 3.248929 MS 29883.07 65.7201 t Stat 0.467247 F 454.7022 P-value 0.648693 Significance F 6.59E-11 Lower 95% -5.56075 Upper 95% 8.59
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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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 Intercept Bo?
SUMMARY OUTPUT
Multiple R
R Square
Adjusted R Square
Standard Error
Observations
ANOVA
Regression Statistics
Regression
Residual
Total
df
0.98706
0.974288
0.972145
8.106794
Coefficients
14
1
12
13
SS
29883.07
788.6412
30671.71
Standard Error
Intercept
1.518053
0.668591
Admissions
OA) is the value of Expenses with one unit increase in Admissions
3.248929
0.031354
MS
29883.07
65.7201
t Stat
0.467247
21.32375
F
454.7022
P-value
0.648693
6.59E-11
Significance F
6.59E-11
Lower 95%
-5.56075
0.600276
Upper 95%
8.59686
0.736907

Transcribed Image Text:A) is the value of Expenses with one unit increase in Admissions
OB) is the value of Expenses when Admissions is 0 or not an impact
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
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