Peter Thompson, in charge of office supplies at Top Hill Estates., would like to predict the quantity of paper used in the office photocopying machines per month. He believes that the number of clients seen in a month influences the volume of photocopying performed. He has compiled the following recent monthly data: (You are to use Excel for this problem) Number of clients in a Month Sheets of Photocopy Paper Used (1000's) 40 24 26 12 50 25 54 26 40 22 23 15 34 22 52 26 a. Develop the least squares estimated regression equation that relates sheets of photocopy paper used to the number of clients. b. Use the regression equation developed in part (a) to forecast the amount of paper used in a month when 36 clients are expected. c. Compute SSE, SST, and SSR.

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Peter Thompson, in charge of office supplies at Top Hill Estates., would like to predict the quantity of paper used in
the office photocopying machines per month. He believes that the number of clients seen in a month influences the
volume of photocopying performed. He has compiled the following recent monthly data: (You are to use Excel for this
problem)
Number of clients in a Month Sheets of Photocopy Paper Used (1000's)
40
26
50
54
40
23
34
52
24
12
25
26
22
15
22
26
a. Develop the least squares estimated regression equation that relates sheets of photocopy paper used to the number of
clients.
b. Use the regression equation developed in part (a) to forecast the amount of paper used in a month when 36 clients
are expected.
c. Compute SSE, SST, and SSR.
Transcribed Image Text:Peter Thompson, in charge of office supplies at Top Hill Estates., would like to predict the quantity of paper used in the office photocopying machines per month. He believes that the number of clients seen in a month influences the volume of photocopying performed. He has compiled the following recent monthly data: (You are to use Excel for this problem) Number of clients in a Month Sheets of Photocopy Paper Used (1000's) 40 26 50 54 40 23 34 52 24 12 25 26 22 15 22 26 a. Develop the least squares estimated regression equation that relates sheets of photocopy paper used to the number of clients. b. Use the regression equation developed in part (a) to forecast the amount of paper used in a month when 36 clients are expected. c. Compute SSE, SST, and SSR.
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