Use the data to compute a correlation coefficient, r, to determine the correlation between claims and surplus.
Use the data to compute a correlation coefficient, r, to determine the correlation between claims and surplus.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Transcribed Image Text:The following data are the claims (in $ millions) for BlueCross BlueShield benefits
for nine states, along with the surplus (in $ millions) that the company had in assets
in those states.
State
Claims
Surplus
Alabama
$1,425
$277
Colorado
273
100
Florida
915
120
Illinois
1,687
259
Maine
234
40
Montana
142
25
North Dakota
259
57
Oklahoma
258
31
Техas
894
141
Use the data to compute a correlation coefficient, r, to determine the correlation
between claims and surplus.

Transcribed Image Text:12.68 Study the following Excel regression output for an
analysis attempting to predict the number of union
members in the United States by the size of the labor
force for selected years over a 30-year period from data
published by the U.S. Bureau of Labor Statistics.
Analyze the computer output. Discuss the strength of
the model in terms of proportion of variation
accounted for, slope, and overall predictability. Using
the equation of the regression line, attempt to predict
the number of union members when the labor force is
110,000. Note that the model was developed with data
already recoded in 1,000 units. Use the data in the
model as is.
SUMMARY OUTPUT
Regression Statistics
Multiple R
R Square
Adjusted R Square
Standard Error
0.798
0.636
0.612
258.632
Observations
17
ANOVA
Significance F
0.00012
df
SS
MS
F
Regression
1756035.529
1756036
26.25
Residual
15
1003354.471
66890.3
Total
16
2759390
Coefficients
Standard Error
t Stat
P-value
Intercept
20704.3805
879.6067
23.54
0.00000
Total Employment
-0.0390
0.0076
-5.12
0.00012
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