5. Under the Classical Linear Regression model assumptions,
which one of the following is not a required assumption about the
error term ui? *
a. There is no multicollinearity in the model
b. The variance of the error term is the same for all values
of x.
c. The values of the error term are independent.
d. The error term is normally distributed.
6 If you find a positive value of the correlation coefficient
it implies that the slope of...
Explain the differences between the regression model, the
regression equation, and the estimated-regression equation. Discuss
the application of regression analysis in business decision making.
Give examples on how the regression analysis can be used in
business.
What E assumes to possess in a multiple regression model?
List out some assumptions for performing a regression
analysis
When evaluating E in a regression model, what are some facts
about E?
Facts about a simple linear regression analysis?