MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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Summary Statistics Switch Variables
90000
Statistic
casesper100k medianhouseholdincome
Mean
652.217
65057.304
Standard
Deviation
80000
435.999
11542.583
Sample Size
23
Correlation
-0.115
70000
Slope
-3.054
Intercept
67049.159
Scatterplot Controls
O Show Regression Line
60000
50000
0.
250
500
750
1000
1250
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1750
2000
casesper100k
medianhouseholdincome
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Transcribed Image Text:Summary Statistics Switch Variables 90000 Statistic casesper100k medianhouseholdincome Mean 652.217 65057.304 Standard Deviation 80000 435.999 11542.583 Sample Size 23 Correlation -0.115 70000 Slope -3.054 Intercept 67049.159 Scatterplot Controls O Show Regression Line 60000 50000 0. 250 500 750 1000 1250 1500 1750 2000 casesper100k medianhouseholdincome
5.Interpret the Y intercept in context. If you feel y intercept doesn't make sense in this case
explain why.
6. Interpret the slope in context.
7. Using the scatterplot find the data point that appears to have the largest positive residual
(give the x and y coordinate)
X= Y%3D
8. compute the residual for the data point you found in #7.
Residual =
Show work
9. List a possible confounding variable and explain why you believe it is a confounding variable
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Transcribed Image Text:5.Interpret the Y intercept in context. If you feel y intercept doesn't make sense in this case explain why. 6. Interpret the slope in context. 7. Using the scatterplot find the data point that appears to have the largest positive residual (give the x and y coordinate) X= Y%3D 8. compute the residual for the data point you found in #7. Residual = Show work 9. List a possible confounding variable and explain why you believe it is a confounding variable
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