A) Find the expected mortality rate for a country with an exposure index of 3? B) Interpret estimated slope of fitted model C) Provide a null hypothesis, test statistic , p-value and conclusion? D) Dinf the goodness of fit of the model?

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A) Find the expected mortality rate for a country with an exposure index of 3?

B) Interpret estimated slope of fitted model

C) Provide a null hypothesis, test statistic , p-value and conclusion?

D) Dinf the goodness of fit of the model?

In 1965, data on the connection between radioactive waste exposure and cancer mortality was published. The
data was collected from 9 counties that were located near an Atomic Energy Commission facility in Hanford,
Washington. The data give the index of exposure and the cancer mortality rate during 1959-1964 for the nine
counties affected. Higher index of exposure values represent higher levels of contamination.
County
Exposure
Mortality
Name of county
Index of exposure
Cancer mortality per 100,000 man-years"
Variable Description:
The data is as follows:
County Exposure Mortality
1 Umatilla
2.49
147.1
Morrow
2.57
130.1
3
Gilliam
3.41
129.9
Sherman
1.25
113.5
Wasco
1.62
137.5
6 HoodRiver
3.83
162.3
Portland
11.64
207.5
Columbia
6.41
177.9
9
Clatsop
8.34
210.3
S67080
Transcribed Image Text:In 1965, data on the connection between radioactive waste exposure and cancer mortality was published. The data was collected from 9 counties that were located near an Atomic Energy Commission facility in Hanford, Washington. The data give the index of exposure and the cancer mortality rate during 1959-1964 for the nine counties affected. Higher index of exposure values represent higher levels of contamination. County Exposure Mortality Name of county Index of exposure Cancer mortality per 100,000 man-years" Variable Description: The data is as follows: County Exposure Mortality 1 Umatilla 2.49 147.1 Morrow 2.57 130.1 3 Gilliam 3.41 129.9 Sherman 1.25 113.5 Wasco 1.62 137.5 6 HoodRiver 3.83 162.3 Portland 11.64 207.5 Columbia 6.41 177.9 9 Clatsop 8.34 210.3 S67080
SUMMARY OUTPUT
Regression Statistics
Multiple R
0.926344821
R Square
0.858114727
Adjusted R Square
0.837845402
Standard Error
14.00992688
Observations
9.
ANOVA
df
SS
MS
Significance F
1
8309.5559 8309.5559
42.3356
0.0003
Regression
Residual
7
1373.9464
196.2781
Total
8.
9683.5022
t Stat
P-value
Coefficients
114.7156
Standard Error
8.0457
14.2581
0.0000
Intercept
9.2315
1.4188
6.5066
0.0003
Exposure
Transcribed Image Text:SUMMARY OUTPUT Regression Statistics Multiple R 0.926344821 R Square 0.858114727 Adjusted R Square 0.837845402 Standard Error 14.00992688 Observations 9. ANOVA df SS MS Significance F 1 8309.5559 8309.5559 42.3356 0.0003 Regression Residual 7 1373.9464 196.2781 Total 8. 9683.5022 t Stat P-value Coefficients 114.7156 Standard Error 8.0457 14.2581 0.0000 Intercept 9.2315 1.4188 6.5066 0.0003 Exposure
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