Insert Page Layout Data View Home Formulas Review A. Month Medical Supplies costs Number of procedures Number of patient-hours $106,000 320 2,000 230,000 500 3,900 3 1,900 4,100 3 84,000 240 4 4 238,000 520 193,000 240 3,400 3,700 180,000 340 210,000 420 3,100 92,000 360 1,200 10 3,000 9 222,000 78,000 320 10 180 1,300 11 2,800 11 127,000 440 12 12 225,000 380 3,800 13 Regression 1: Medical supplies costs = a + (b x Number of procedures) %3! Variable Coefficient Standard Error t-Value $56,504.86 $ 152.93 $36,939.77 Constant 0.65 $ 361.91 Independent variable: No. of procedures 2.37 2 = 0.36; Durbin-Watson statistic = 2.48 a + (b x Number of patient-hours) Regression 2: Medical supplies costs Variable Coefficient Standard Error t-Value $3,654.86 $ 56.76 $23,569.51 0.16 Constant 7.82 Independent variable: No. of patient-hours 2 = 0.84; Durbin-Watson statistic 7.25 1.91

FINANCIAL ACCOUNTING
10th Edition
ISBN:9781259964947
Author:Libby
Publisher:Libby
Chapter1: Financial Statements And Business Decisions
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Regression; choosing among models. Apollo Hospital specializes in outpatient surgeries for relatively minor procedures. Apollo is a nonprofit institution and places great emphasis on controlling costs in order to provide services to the community in an efficient manner.

Apollo’s CFO, Julie Chen, has been concerned of late about the hospital’s consumption of medical supplies. To better understand the behavior of this cost, Julie consults with Rhett Bratt, the person responsible for Apollo’s cost system. After some discussion, Julie and Rhett conclude that there are two potential cost drivers for the hospital’s medical supplies costs. The first driver is the total number of procedures performed. The second is the number of patient-hours generated by Apollo. Julie and Rhett view the latter as a potentially better cost driver because the hospital does perform a variety of procedures, some more complex than others.

Rhett provides the following data relating to the past year to Julie.

Estimate the regression equation for (a) medical supplies costs and number of procedures and (b) medical supplies costs and number of patient-hours. You should obtain the following results:

  1. On different graphs plot the data and the regression lines for each of the following cost functions:
  2. Medical supplies costs =a+ (bX Number of procedures)
  3. Medical supplies costs =a+ (bX Number of patient-hours)
  4. Evaluate the regression models for “Number of procedures” and “Number of patient-hours” as the cost driver according to the format of Exhibit 10-18 (page 404).
  5. Based on your analysis, which cost driver should Julie Chen adopt for Apollo Hospital? Explain your answer.
Insert
Page Layout
Data
View
Home
Formulas
Review
A.
Month Medical Supplies costs Number of procedures Number of patient-hours
$106,000
320
2,000
230,000
500
3,900
3
1,900
4,100
3
84,000
240
4
4
238,000
520
193,000
240
3,400
3,700
180,000
340
210,000
420
3,100
92,000
360
1,200
10
3,000
9
222,000
78,000
320
10
180
1,300
11
2,800
11
127,000
440
12
12
225,000
380
3,800
13
Transcribed Image Text:Insert Page Layout Data View Home Formulas Review A. Month Medical Supplies costs Number of procedures Number of patient-hours $106,000 320 2,000 230,000 500 3,900 3 1,900 4,100 3 84,000 240 4 4 238,000 520 193,000 240 3,400 3,700 180,000 340 210,000 420 3,100 92,000 360 1,200 10 3,000 9 222,000 78,000 320 10 180 1,300 11 2,800 11 127,000 440 12 12 225,000 380 3,800 13
Regression 1: Medical supplies costs = a + (b x Number of procedures)
%3!
Variable
Coefficient
Standard Error
t-Value
$56,504.86
$ 152.93
$36,939.77
Constant
0.65
$ 361.91
Independent variable: No. of procedures
2.37
2 = 0.36; Durbin-Watson statistic = 2.48
a + (b x Number of patient-hours)
Regression 2: Medical supplies costs
Variable
Coefficient
Standard Error
t-Value
$3,654.86
$ 56.76
$23,569.51
0.16
Constant
7.82
Independent variable: No. of patient-hours
2 = 0.84; Durbin-Watson statistic
7.25
1.91
Transcribed Image Text:Regression 1: Medical supplies costs = a + (b x Number of procedures) %3! Variable Coefficient Standard Error t-Value $56,504.86 $ 152.93 $36,939.77 Constant 0.65 $ 361.91 Independent variable: No. of procedures 2.37 2 = 0.36; Durbin-Watson statistic = 2.48 a + (b x Number of patient-hours) Regression 2: Medical supplies costs Variable Coefficient Standard Error t-Value $3,654.86 $ 56.76 $23,569.51 0.16 Constant 7.82 Independent variable: No. of patient-hours 2 = 0.84; Durbin-Watson statistic 7.25 1.91
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