(Y (sub (i)))= B (sub 0) + B(sub 1) X(sub i) + B(sub 2) D(sub2i) + B(sub 3) D(sub 3i) + u(sub i)
Y= annual earnings of MBA graduates
X= years of service
D(sub 2)= 1 if Harvard MBA
D(sub3)= 1 Wharton MBA
= 0 otherwise
a. What are the expected signs of the various coefficients?why?
b. How would you interpret B(sub 2) and B(sub 3)? why?
c. If B(sub 2) > B(sub3), what conclusion would you draw and why?
a. What are the expected signs of the various coefficients? why?
This is an OLS regression with dummy variables.
Bo is the intercept, which means the earning for a MBA graduate with no service experience and not coming from Harvard or Wharton. Since MBA graduates like this can certainly make money, the value of Bo should be positive.
B1 is the coefficient of years of service. Since we would expect higher earnings for those with longer ...
The solution answers the question(s) below.
Regression in SPSS
Assume that you are an analyst for the City of Normalton in 1999. You have been asked by the Mayor to evaluate the effectiveness of two juvenile crime policies:
The strict curfew put in place on Jan1, 1994 and
The parental responsibility law put in place on March 1, 1994.
The police department has provided you with the dataset containing statistics they have assembled since 1990.
Specify the model to employ in analysis
Discuss the statistical tests to conduct
Provide the important tables and charts to reach conclusions
I WAS THINKING FOR THE STRICT CURVEW I WOULD EMPLOY REGRESSION MODEL. FOR THE PARENTAL RESPONSIBLITY I WOULD USE MULTIPLE REGRESSION AND OR SCATTERPLOT
PLEASE TELL ME WHICH TEST TO USE AND SHOW ME THE RESULTS.