1. Compute the coefficient of determination r2. Comment on the goodness of fit.2. Compute the correlation coefficient.3. Use the t test to test the following hypothesis β1 = 0 at α = .05. Peter Thompson, in charge of office supplies at Top Hill Estates., would like to predict the quantity of paper used inthe office photocopying machines per month. He believes that the number of clients seen in a month influences thevolume of photocopying performed. He has compiled the following recent monthly data: (You are to use Excel for thisproblem)Number of clients in a Month Sheets of Photocopy Paper Used (1000's)40265054402334522412252622152226

(1) Use EXCEL to determine the regression equation. EXCEL procedure: Go to EXCEL Go to…

Answered: 1. Compute the coefficient of…

1. Compute the coefficient of determination r2. Comment on the goodness of fit. 2. Compute the correlation coefficient. 3. Use the t test to test the following hypothesis β1 = 0 at α = .05.

Trigonometry (MindTap Course List)

10th Edition

ISBN:9781337278461

Author:Ron Larson

Publisher:Ron Larson

ChapterP: Prerequisites

SectionP.3: The Cartesian Plane And Graphs Of Equations

Problem 7ECP

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Question

100%

1. Compute the coefficient of determination r². Comment on the goodness of fit.
2. Compute the correlation coefficient.
3. Use the t test to test the following hypothesis β₁ = 0 at α = .05.

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

Definition Definition Statistical measure used to assess the strength and direction of relationships between two variables. Correlation coefficients range between -1 and 1. A coefficient value of 0 indicates that there is no relationship between the variables, whereas a -1 or 1 indicates that there is a perfect negative or positive correlation.

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