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?
What are some ways to identify that a multiple regression model
is needed (versus only one independent variable)? Provide an
example of a situation that would require multiple regression.
for stat students, model ( linear regression, multiple
regression,factorial experiments,liner model) For one statistical
method, give at least three reasons why the underlying statistical
model is important. three reasons for each one
Regression Assumptions
Below are some assumptions we must meet for regression. In one
or two sentences, explain what each means.
Correctly specified model?
Linearity?
Minimum multicollinearity?
Homoscedastic distribution of errors?
What is a fitted value for a multiple regression model and the
data that is used to create it? Select one.
-It is the difference between the actual value of the response
variable and the corresponding predicted value (regression error)
using the multiple regression model.
-It is a statistic that explains the relationship between
response and predictor variables.
-It is a statistic that is used to evaluate the significance of
the multiple regression model.
-It is the predicted value of...
Define and discuss the difference between linear regression and
multiple regression. Are there any assumptions which must be met
before using multiple regression?