Answer Happy

a. Provide interpretation of Adjusted R-2 for the estimated model.b. List all the variables that do not have statistical significant "effect" on probability of developing cancer.
a. Provide interpretation of Adjusted R-2 for the estimated model.
b. List all the variables that do not have statistical significant "effect" on probability of developing cancer.
You are modeling linear probability model of developing cancer as a function of demographic characteristics and life-style choices for a sample of Baby Boomers, where Cancer a dummy that takes value 1 if a person was ever diagnosed with cancer and zero otherwise female a dummy that takes value 1 for a female and 0 for a male age age of a respondent measured in years inc10k household's income measured in $10,000 married a dummy variable that takes value 1 if a person is married and 0 otherwise smoking a dummy variable that takes value 1 if a person ever smoked and 0 otherwise phys_active= a dummy variable that takes value 1 if a person is physically active and 0 otherwise 30 af 49.57743372 19,944 -110946714 19,972 513790834 Prob>F Ad) R-spared Boot H 19,973 84.32 0.0000 0.0253 0.0250

age 1 female 1 0002104 0050875 married 1 0073392 0052529 smoking I 0281039 0048997 phys_active | -.0138593 .0050809 inc10k 1 0002592 cons I -.1845142 -0044793 0004443 cancer | age | female I married | smoking 1 phys active | inc10k 1 Obs 19,973 19, 973 19,973 19,973 19,973 sum cancer age female married smoking phys_active inclok if e (sample)--1 Variable I 19,973 19,973 0002363 0175361 -10.52 0.000 Mean 20.51 0.000 0.09 0.930 .1309268 66.55004 .5857408 .6309017 .5739248 1.40 0.162 0.000 5.74 -2.73 0.006 1.10 0.273 .378511 6.062572 Std. Dev. .3373287 11.49664 .492606 .4825727 .4945173 195% cont. Intervall 0049073 0104161 20176352 .485028 10.38617 0040512 -.0095276 -20029568 0185001 -.0238183 -.0002041 -2188864 Min 0 24 1000 0 0377077 -.0039003 0007224 -.1501419 0 Max 107 1 1 1 1 353.6642