exper ospital (dependen Hable) 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 Residual Total Regression Statistics Intercept df 0.98706 0.974288 0.972145 8.106794 14 Coefficients 1 12 13 1.518053 SS 29883.07 788.6412 30671.71 Standard Error 3.248929 MS 29883.07 65.7201 t Stat 0.467247 0100030 F 454.7022 P-value 0.648693 гог 11 Significance F 6.59E-11 Lower 95% -5,56075 o co0376 Upper 95% 8.59686 0736007

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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 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
Coefficients
14
1
12
13
1.518053
0.668591
SS
29883.07
788.6412
30671.71
Standard Error
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: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 Residual Total Regression Statistics Intercept Admissions df 0.98706 0.974288 0.972145 8.106794 Coefficients 14 1 12 13 1.518053 0.668591 SS 29883.07 788.6412 30671.71 Standard Error 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
Coefficients
1.518053
0.668591
Standard Error
3.248929
0.031354
Intercept
Admissions
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
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 1.518053 0.668591 Standard Error 3.248929 0.031354 Intercept Admissions 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 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
Expert Solution
Step 1: Solution:

The dependent variable is total expenses

The independent variable is number of admissions 

The value of the intercept is 1.518053 


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