Variable Coefficient SE(Coeff) Intercept 1493.26 88.48 Education -49.9202 8.000 1050 900 9.75 10.50 11.25 12.00 Median Education (yr) 100 50 -50 900 930 960 990 Predicted 10 6. 4 -100 100 Residuals

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Chapter1: Starting With Matlab
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Education and mortality The software output below is
based on the mortality rate (deaths per 100,000 people)
and the education level (average number of years in
school) for 58 U.S. cities.
Variable Count Mean StdDev
Mortality 58 942.501 61.8490
Education 58 11.0328 0.793480
Dependent variable is: Mortality
R-squared = 41.0%
s = 47.92 with 58 - 2 = 56 degrees of freedoma) Comment on the assumptions for inference.
b) Is there evidence of a strong association between the
level of Education in a city and the Mortality rate? Test
an appropriate hypothesis and state your conclusion.
c) Can we conclude that getting more education is likely
(on average) to prolong your life? Why or why not?
d) Find a 95% confidence interval for the slope of the
true relationship.
e) Explain what your interval means. *
f) Find a 95% confidence interval for the average
Mortality rate in cities where the adult population
completed an average of 12 years of school.

Variable
Coefficient SE(Coeff)
Intercept
1493.26
88.48
Education
-49.9202 8.000
1050
900
9.75
10.50
11.25
12.00
Median Education (yr)
100
50
-50
900
930
960
990
Predicted
10
6.
4
-100
100
Residuals
Transcribed Image Text:Variable Coefficient SE(Coeff) Intercept 1493.26 88.48 Education -49.9202 8.000 1050 900 9.75 10.50 11.25 12.00 Median Education (yr) 100 50 -50 900 930 960 990 Predicted 10 6. 4 -100 100 Residuals
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