What are the similarities and differences between multiple
linear regression, and logistic regression? Please consider Typical...
What are the similarities and differences between multiple
linear regression, and logistic regression? Please consider Typical
Application (used when), assumptions needed, Data Type
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...
What approaches are there by which coefficients are estimated
for linear and logistic regression?
How is the deviance affected when an explanatory term is omitted
(i know that it increases, but surely there is more to it?)
In what situations would we use Beta-binomial regression?
Consider a logistic regression model with a linear predictor
that includes an interaction term, say
x’β =
β0 +
β1x1
+β2x2+
β12x1x2.
Does the odds ratio associated with the regressor
x2 have the same interpretation as in the case
where the linear predictor does not have the interaction term?
Provide mathematical development to support your answer.
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.
If a dependent variable is binary, is it optimal to use linear
regression or logistic regression? Explain your answer and include
the theoretical and practical concerns associated with each
regression model. Provide a business-related example to illustrate
your ideas.