EBK BUSINESS STATISTICS
8th Edition
ISBN: 9780135179833
Author: STEPHAN
Publisher: VST
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"Suppose that real income per capita in New Jersey increases by 1% in the next year. Use the results in column (4) to predict the change in the number of traffic fatalities in the next year. "
Explain what a residual is and how this relates to the best-fit regression model.
A 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…
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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…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_forwardPLEASE DO THIS TYPEWRITTEN AND SKIP IT IF YOU HAVE ALREADY DONE THIS, OTHERWISE DOWNVOTE. I WILL UPVOTE IF YOU FOLLOW MY INSTRUCTIONS. THANK YOUarrow_forward
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- You are an analysis for a hot chocolate company, and want to investigate how weekly product sales are impacted by the current temperature. You investigate weekly sales data and average temperature for a particular region of customers over 77 weeks. You create a linear regression model to predict weekly sales. The model has residual standard deviation (8e) of 3380 and a 8 of 6.5. The regression slope you get in your model is 109. Using this information, create a hypothesis test to investigate if the population regression slope of your model is not equal to zero. What is the value of the test statistic of your analysis? Note: 1- Only round your final answer. Round your final answer to two decimal places. Your Answer: Answerarrow_forwardYou are an analysis for a hot chocolate company, and want to investigate how weekly product sales are impacted by the current temperature. You investigate weekly sales data and average temperature for a particular region of customers over 77 weeks. You create a linear regression model to predict weekly sales. The model has residual standard deviation (Se) of 3360 and a S of 8.3. The regression slope you get in your model is 106. Using this information, create a hypothesis test to investigate if the population regression slope of your model is not equal to zero. What is the value of the test statistic of your analysis? Note: 1- Only round your final answer. Round your final answer to two decimal places.arrow_forwardPlease fill in the blank. My answers are wrongarrow_forward
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