Revisiting tvphyslife.dta looking at life expectancy and people per physician, create a new variable, equal to square term of people per physician. Now run a quadratic regression and include both people per physician and people per physician squared in the model (y = a + b1x + b2x2). 7. What is the coefficient of the linear term in the Stata or R output (b1) (3 decimal points)? Choose the correct answer from below. Answer options: A. -0.002 B. 0.004 C. 1.127 D. 71.936

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Revisiting tvphyslife.dta looking at life
expectancy and people per physician,
create a new variable, equal to square term
of people per physician. Now run a
quadratic regression and include both
people per physician and people per
physician squared in the model (y = a + b1x
+ b2x2).
7. What is the coefficient of the linear term
in the Stata or R output (b1) (3 decimal
points)? Choose the correct answer from
below.
Answer options: A. -0.002 B. 0.004 C. 1.127
D. 71.936
Transcribed Image Text:Revisiting tvphyslife.dta looking at life expectancy and people per physician, create a new variable, equal to square term of people per physician. Now run a quadratic regression and include both people per physician and people per physician squared in the model (y = a + b1x + b2x2). 7. What is the coefficient of the linear term in the Stata or R output (b1) (3 decimal points)? Choose the correct answer from below. Answer options: A. -0.002 B. 0.004 C. 1.127 D. 71.936
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