Define and discuss the difference between linear regression and
multiple regression. Are there any assumptions which...
Define and discuss the difference between linear regression and
multiple regression. Are there any assumptions which must be met
before using multiple regression?
What is the difference between simple linear regression and
multiple linear regression?
What is the difference between multiple linear regression and
logistic regression?
Why should you use adjusted R-squared to choose between models
instead of R- squared?
Use SPSS to:
Height (Xi)
Diameter (Yi)
70
8.3
72
10.5
75
11.0
76
11.4
85
12.9
78
14.0
77
16.3
80
18.0
Create a scatterplot of the data above. Without conducting a
statistical test, does it look like there is a linear...
Regression
Make a distinction between simple linear and multiple linear
regression. Can you think of examples in your business world where
these techniques are or should be applied? Share the details, where
possible.
Make a distinction between simple linear and multiple linear
regression. Can you think of examples in your business world where
these techniques are or should be applied? Share the details, where
possible.
What are the similarities and differences between multiple
linear regression, and logistic regression? Please consider Typical
Application (used when), assumptions needed, Data Type
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...