4. Find the least squares point estimates b, and b, on the computer output a report their values. Interpret bo and b, in the problem context. Write do the regression equation. 5. Does the interpretation of b, make practical sense? 6. Use the least squares line (regression) to compute a point estimate of the mean time to service 9 and 11 copiers.

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Please help with questions 4-9 ??
Problem I. Accu-Copiers, Inc., sells and services the Accu-500 copying
machine. As part of its standard service contract, the company agrees to
perform routine service on this copier. To obtain information about the time it
takes to perform routine service, Accu-Copiers has collected data for 11
service calls.
The data "SrvcTime" is attached.
1. Which variable is the explanatory or predictor variable? Explain
2. Create scatter plot in Excel and determine if there is a relationship in
between variables. Can number of copiers predict service time?
3. Run the regression Model in Excel. Copy and paste entire output below.
4. Find the least squares point estimates bo and b, on the computer output and
report their values. Interpret bo and b, in the problem context. Write down
the regression equation.
5. Does the interpretation of b make practical sense?
6. Use the least squares line (regression) to compute a point estimate of the
mean time to service 9 and 11 copiers.
7. Find residuals if actual number of copiers serviced are:
a. 4 copiers and has service time over estimated or under estimated?
b. 6 copiers has service time over estimated or under estimated?
8. Find correlation coefficient. Negative or positive association?
9. Find . Interpret the result.
Transcribed Image Text:Problem I. Accu-Copiers, Inc., sells and services the Accu-500 copying machine. As part of its standard service contract, the company agrees to perform routine service on this copier. To obtain information about the time it takes to perform routine service, Accu-Copiers has collected data for 11 service calls. The data "SrvcTime" is attached. 1. Which variable is the explanatory or predictor variable? Explain 2. Create scatter plot in Excel and determine if there is a relationship in between variables. Can number of copiers predict service time? 3. Run the regression Model in Excel. Copy and paste entire output below. 4. Find the least squares point estimates bo and b, on the computer output and report their values. Interpret bo and b, in the problem context. Write down the regression equation. 5. Does the interpretation of b make practical sense? 6. Use the least squares line (regression) to compute a point estimate of the mean time to service 9 and 11 copiers. 7. Find residuals if actual number of copiers serviced are: a. 4 copiers and has service time over estimated or under estimated? b. 6 copiers has service time over estimated or under estimated? 8. Find correlation coefficient. Negative or positive association? 9. Find . Interpret the result.
4:38
< Back
Service Time Data
อ
Dashboard
Ch 4 SrvcTime.xlsx
Call Copiers (X) Minutes (Y)
109
58
138
189
37
82
103
134
68
112
154
1
4
2
2
3
5
4
7
T
1
3
4
5
2
56789DF
10
11
18
Calendar
To Do
4
6
10
A
Notifications
Inbox
Transcribed Image Text:4:38 < Back Service Time Data อ Dashboard Ch 4 SrvcTime.xlsx Call Copiers (X) Minutes (Y) 109 58 138 189 37 82 103 134 68 112 154 1 4 2 2 3 5 4 7 T 1 3 4 5 2 56789DF 10 11 18 Calendar To Do 4 6 10 A Notifications Inbox
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