Math Solutions

(All Steps) Consider the following regression output: Y#770;_t=0.2033+0.6560X_t , se=(0.0976) (0.1961) , r^2=0.397, RSS=0.0544, ESS=0.0358 , where F=Labor

Question: Consider the following regression output:

\(\begin{aligned} & {{{\hat{Y}}}_{t}}=0.2033+0.6560{{X}_{t}} \\ & se=(0.0976)\,\,\,(0.1961) \\ & {{r}^{2}}=0.397,\,\,RSS=0.0544,\,\,\,ESS=0.0358 \\ \end{aligned}\)

where F=Labor Force Participation Rate (LFPR) of women in 1972 and X=LFPR of women in 1968. The regression results were obtained from a sample of 19 cities in the United States.

  1. How do you interpret this regression?
  2. Test the hypothesis: Ho: B2=1 against H1: B2>1. Which test do you use? And why? What are the underlying assumptions of the test(s) you use? Hint: think about the general formula for calculating the estimated t statistic.

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


∴ Other downloads you may be interested in ∴

log in to your account

Forgot password?
Don't have a membership account?
REGISTER

reset password

Back to
log in

sign up

Back to
log in