Which of the following variable does the normality assumption
concern about in a simple linear regression model?
response varaible, the predictor, the residual or none are
correct.
Which of the following is NOT a required
assumption for the multiple regression model?
a
The error/randomness in attendance is independent from one game
to the next.
b
The error term has a constant variance for all possible values
of Temp, Win%, and OpWin%.
c
The relationship between Attendance and the slope/intercept
parameters is linear.
d
The variable Temp has a normal distribution.
Which of the following is NOT a required
assumption for the multiple regression model?
a
The error/randomness in attendance is independent from one game
to the next.
b
The error term has a constant variance for all possible values
of Temp, Win%, and OpWin%.
c
The relationship between Attendance and the slope/intercept
parameters is linear.
d
The variable Temp has a normal distribution.
When estimating a multivariate model using OLS.
Discuss possible problems, such as multicollinearity,
heteroscedasticity and simultaneous equation bias.
Based on the various stepwise approaches for selecting an
excellent (if not optimal) fitted multiple regression model, which
one approach would you select if you had to explain to a client
what your chosen model is and what approach you used to obtain
it?
Discuss the application of multiple regression model using a
real-life example. [Hint: You are supposed to examine a possible
relationship between a dependent and at least three important
independent variables in the example which you have chosen.
Identify dependent variable and independent variable and write the
mathematical regression equation for the example and explain each
component of the equation.]