EBK BUSINESS STATISTICS
7th Edition
ISBN: 9780134462783
Author: STEPHAN
Publisher: PEARSON CUSTOM PUB.(CONSIGNMENT)
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The average height of people in Faroe island is 180cm. Suppose you run a regression with no independent variables. What would be the estimated form of your regression?
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The data below is for a hypothetical study investigating the Systolic Blood Pressure (SBP) of construction workers. The table shows respective measurements of 20 workers along with hours of work per day and the area of the city the work took place.
[You can use Excel-Data Analysis – Regression or http://vassarstats.net/multU.html]
SBP
Hrs/day
Area
109.6
7
east
107.4
8
east
140.3
9
east
146.5
12
east
98.2
6
east
137.8
9
east
124.1
10
east
113.2
8
east
127.8
9
east
125.3
8
east
108.5
6
west
181.3
13
west
137.4
10
west
146.2
10
west
142.4
9
west
123.7
8
west
129.6
8
west
143.6
9
west
160.7
11
west
148.3
9
west
a) What is the regression equation?
b) Interpret the meaning of the slopes in this problem.
d) At the 0.05 level of significance, determine whether each independent variable makes a contribution to the…
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- Use the table of values you made in part 4 of the example to find the limiting value of the average rate of change in velocity.arrow_forwardA materials engineer working for a furniture manufacturer wants to evaluate the rigidity of the particle board used by the manufacturer. The engineer collects stiffness data from pieces of particle board that have different densities at different temperatures. Determine the connection between the stiffness and the density of the wood. What does Pierson's r tell us? What is the regression between the stiffness and the density of the wood? Write the equation of the linear regression? density rigidity Temp 9.5 14.814 70.61056 8.4 17.502 73.34893 9.8 14.007 66.15377 11 19.443 70.05781 8.3 7.573 69.33919 9.9 14.191 69.12882 8.6 9.714 69.83351 6.4 8.076 64.36617 7 5.304 65.41039 8.2 10.728 67.76739 17.4 43.243 69.70053 15 25.319 66.93095 15.2 28.028 71.52362 16.4 41.792 66.60748 16.7 49.499 67.98685 15.4 25.312 64.29324 15 26.222 64.48343 14.5 22.148 71.3084 14.8 26.751 69.58755 13.6 18.036 71.13321 25.6 96.305 72.09707 24.4 72.594 67.32207…arrow_forwardThe owener of a winery collects data on competing wineries every year. He would like to predict the gross sales (in number of cases) from the size of the wineries (in acres). What is the explanatory variable in this study?arrow_forward
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