ISOM 201 Suffolk University Data and Decision Analysis Regression Model Worksheet

ISOM 201

ISOM

### Question Description

I need help with a Excel question. All explanations and answers will be used to help me learn.

Need to finish it in excel file.

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Expenses Hospital 1 Hospital 2 Hospital 3 Hospital 4 Hospital 5 Hospital 6 Hospital 7 Hospital 8 Hospital 9 Hospital 10 Hospital 11 Hospital 12 Hospital 13 Hospital 14 Beds 57 127 157 24 14 93 45 6 99 12 11 15 21 63 Admissions 215 336 520 135 35 210 140 90 410 50 65 42 110 305 77 160 230 43 9 155 53 6 159 18 16 29 28 98 Chapter 4 homework 4 The total expenses of a hospital are related to many factors. Two of these factors are the number of beds in the hospital and the number of admissions. Data were collected on 14 hospitals, as shown in the above table. a) Develop a regression model that could be used to predict the total expenses based on the number of beds. b) Develop a regression model that could be used to predict the total expenses based on the total admissions c) Develop a regression model that could be used to predict the total expenses based on the number of beds, and total admissions d) Specify the best regression model that can be used to predict the number of victories e) Discuss the accuracy of the regression model you specify in section d, and the significance of independent variables f) Develop a regression model that could be used to predict the total expenses based on the total admissions, and number of beds with confidence level of 90% g) Compare the result of model you developed in section (f) and section (c) in terms of - significance of predictors - sign of coefficient - adjusted r-square ...
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Chapter 4 homework 4
The total expenses of a hospital are related to many factors. Two of these factors are the number of beds
in the hospital and the number of admissions. Data were collected on 14 hospitals, as shown in the above
table.
a) Develop a regression model that could be used to predict the total expenses based on the
number of beds.
𝑦 = 0.3014𝑥1 − 4.1941, where 𝑥1 = the number of beds
b) Develop a regression model that could be used to predict the total expenses based on the total
𝑦 = 0.6686𝑥2 + 1.5181, where 𝑥2 = the total number of admissions

c) Develop a regression model that could be used to predict the total expenses based on the
number of beds, and total admissions
𝑦 = 0.0231𝑥1 + 0.6230𝑥2 + 0.6539, where 𝑥1 = the number of beds and 𝑥2 = the total number of

d) Specify the best regression model that can be used to predict the number of vict...

svantass (386)
Carnegie Mellon University
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