Look at Regression

(b) in Table 3.1, and consider the following questions:

(a) Does BMI increase as income rises?

(b) Using the variables Age and Age-squared, calculate the changes in BMI between the ages of 25 and 35; 35 and 45; 45 and 55; 55 and 65. Are these changes constant?

Why or why not?

Transcribed Image Text:

Table 3.1 Economic Determinants of BMI Determinants of BMI (a) (b)* Coeff Std. Error t-test Coeff Std.Error t-test Intercept 17.50638 (0 if female; 1 if male) 0.89674 0.18327 0.05311 (1 if African-Am; 0 1.61420 0.08288 95.52 18.02081 16.88 1.27763 19.48 2.51273 0.22234 0.05721 22.33 81.05 0.11202 22.43 otherwise) Age 0.29164 0.00811 35.96 0.28948 0.00817 35.42 Age squared -0.00290 Health status (1 = 0.93704 8.02E-05 -36.20 -0.00295 0.02464 38.03 0.94584 8.09E-05 -36.44 0.02513 37.64 excellent 5 poor) = (1 if spouse; 0.14897 0.05566 2.68 0.08652 0.05559 1.56 0 otherwise) (1 if Hispanic; 0.59101 0.08263 7.15 0.60297 0.08515 7.08 0 otherwise) (1 if African-Am+male; 0 otherwise) Income x 1,000 1 if lifetime alcohol abstainer 1 if monthly drinker 1 if binge drinker -2.18621 0.16274 -13.43 -0.000552 0.00061 -0.91 -0.000557 0.00061 -0.92 -0.61792 0.08068 -7.66 -0.01183 0.01516 -0.59014 0.05964 -9.89 -0.78