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 Multiple R R Square Adjusted R Square Standard Error Observations ANOVA Regression Residual Total Regression Statistics Intercept Admissions dif 0.98706 0.974288 0.972145 8.106794 14 Coefficients 1 12 13 1.518053 0668591 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 6.59F-11 Significance F 6.59E-11 Lower 95% -5.56075 0.600276 Upper 95% 8.59686 0.700007

MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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O A) is the value of Expenses with one unit increase in Admissions
B) is the value of Expenses when Admissions is 0 or not an impact
O C) represents significance when compared to .05 level of significance
D) is the variance in Expenses that is accounted for by Admissions
OE) is the strength and direction of the relationship
Transcribed Image Text:O A) is the value of Expenses with one unit increase in Admissions B) is the value of Expenses when Admissions is 0 or not an impact O C) represents significance when compared to .05 level of significance D) is the variance in Expenses that is accounted for by Admissions OE) is the strength and direction of the relationship
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
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
0.668591
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
0736907
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 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 0.668591 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 0736907
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