Practical_3.pdf

# Practical_3.pdf - Econ 2007 Practical Lecture 3 Monday 30...

• 3

This preview shows pages 1–2. Sign up to view the full content.

Econ 2007 Practical Lecture 3 Monday 30 November 2015 Exercises 1. The body-mass index (BMI, or variable bmi ) compares a person’s weight and height, and is defined as the ratio of a person’s weight in kg and the square of height (in m). A bmi greater than 25 is often used as an indicator of overweight. To investigate the relation between body-mass index (bmi) and the number of times people typically engage in sports per week (nsport), researchers have been estimating this linear regression: bmi = β 0 + β 1 nsport + u Consider the following regression output for higher educated individuals in their 30s: . reg bmi nsport Source | SS df MS Number of obs = 5812 -------------+------------------------------ F( 1, 5810) = 14.48 Model | 136.618659 1 136.618659 Prob > F = 0.0001 Residual | 54832.867 5810 9.43767074 R-squared = 0.0025 -------------+------------------------------ Adj R-squared = 0.0023 Total | 54969.4857 5811 9.45955699 Root MSE = 3.0721 ------------------------------------------------------------------------------ bmi | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- nsport | -.1388576 .0364962 -3.80 0.000 -.2104037 -.0673116 _cons | 23.31378 .0624587 373.27 0.000 23.19134 23.43622 ------------------------------------------------------------------------------ (a) Interpret the estimated coefficients in this regression (b) Do you interpret the coefficient on ’nsport’ in a causal (everything else equal) way?

This preview has intentionally blurred sections. Sign up to view the full version.

This is the end of the preview. Sign up to access the rest of the document.

{[ snackBarMessage ]}

### What students are saying

• As a current student on this bumpy collegiate pathway, I stumbled upon Course Hero, where I can find study resources for nearly all my courses, get online help from tutors 24/7, and even share my old projects, papers, and lecture notes with other students.

Kiran Temple University Fox School of Business ‘17, Course Hero Intern

• I cannot even describe how much Course Hero helped me this summer. It’s truly become something I can always rely on and help me. In the end, I was not only able to survive summer classes, but I was able to thrive thanks to Course Hero.

Dana University of Pennsylvania ‘17, Course Hero Intern

• The ability to access any university’s resources through Course Hero proved invaluable in my case. I was behind on Tulane coursework and actually used UCLA’s materials to help me move forward and get everything together on time.

Jill Tulane University ‘16, Course Hero Intern