[See Steps] The data from the lung cancer study presented below. The first column is the midpoint age for given age category. The second column for city, third


Question:

The data from the lung cancer study presented below. The first column is the midpoint age for given age category. The second column for city, third column for the number of lung cancer cases in city, and fourth column is population at risk in given age range in the city.

Age Midpoint City Cases Population
47 Fred 11 3059
57 Fred 11 800
62 Fred 11 710
67 Fred 10 581
72 Fred 11 509
75 Fred 10 605
47 Horsens 13 2879
57 Horsens 6 1083
62 Horsens 15 923
67 Horsens 10 834
72 Horsens 12 634
75 Horsens 2 782
47 Kolding 4 3142
57 Kolding 8 1050
62 Kolding 7 895
67 Kolding 11 702
72 Kolding 9 535
75 Kolding 12 659
47 Vejle 5 2520
57 Vejle 7 878
62 Vejle 10 839
67 Vejle 14 631
72 Vejle 8 539
75 Vejle 7 619

After a careful model building process an investigator decided to fit the model for which partial output is presented below. Fred is a dummy variable representing city FREDERIC, age_sq is just a square of midpoint age. This analysis used natural logarithm of population size as an offset variable.

Analysis of parameter estimates

Parameter DF Estimate SE 95%CI Chi-sq Pr>Chi-sq

Intercept 1 -21.7892 3.037 (-27.8527,-15.7257) 49.61 <.0001

Frederic1 1 0.3285 0.1480 (0.0383, 0.6187) 4.92 0.0265

Frederic0 0 000 0000 0000 000000

Age_midpt 1 0.5099 0.1021 (0.3097,0.7100) 24.93 <.0001

Age_sq 1 -0.0037 0.0008 (-0.0053,-0.0021) 19.91 <.0001

Please explain (the best you can) the conclusion from this analysis.

Price: $2.99
Solution: The downloadable solution consists of 2 pages
Deliverable: Word Document

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