Logisitic Regression

Question 1

What differentiates LR from MR?

Answer 1

LR has a dependent variable that is binary

LR is used for predicting group membership

Question 2

The Independent variables in a Logistic Regression should be

Answer 2

Continuous or binary

Question 3

What are key differences between ANOVA and logistic regression?

Answer 3

The DV is binary for LR and not for ANOVA

Question 4

What are the key differences between Chi Square and Logistic Regression

Answer 4

Chi Square has two catergorical variables

Question 5

What are the key differences between t-tests and Logistic Regression

Answer 5

Continous IV variable and 2+ groups

Question 6

What are the key differences between correlation and Logistic Regression

Answer 6

correlations are two continous variables, pearsons r or dichotomous variables

Question 7

Is it possible to use a continuous variable for use in Logistic regression?

Answer 7

Yes, if the IV has a cut point and this can be used to form a binary variable

Question 8

What is the general shape of a plotted logistic regression formula?

Answer 8

An S shape

Question 9

What is the general shape of a quadratic function

Answer 9

A parabola

Question 10

What is the scale of the DV for the logistic regression model?

Answer 10

A logarithmic scale

Question 11

Is binary logistic regression a linear model?

Answer 11

No, it is non-linear function

Question 12

Can the approach used for MR model building be used for LR?

Answer 12

Yes, it can use standard, sequential and statistical model building

Question 13

How many ordinal outcomes can a multinomial logistic regression predict?

Answer 13

Three or more categories

Question 14

Which type of LR is this lecture about?

Answer 14

Binary

Question 15

Sequential logistic regression is what?

Answer 15

Binary and continuous variables are entered in blocks and pre-specified by the researcher

Question 16

What does target variable mean?

Answer 16

This is the outcome category of the dependent variable that is the focus of the research question

Question 17

What is the reference category in logistic regression analyses?

Answer 17

It is the reference category used to interpret the categories of a categorical variable

Question 18

How does SPSS choose the target category for an outcome variable in a logistic regression?

Answer 18

It chooses the highest numeric value

Question 19

Can a categorical DV have more than one category in logistic regression?

Answer 19

Categorical DVs in logistic regression can only have two values

Question 20

Can a categorical IV have more than one category?

Answer 20

Categorical IVs in a logistic regression can have two or more values

Question 21

For an IV with more than one category, can any category be the reference category?

Answer 21

Yes, any category can be the reference variable

Question 22

When checking the linearity assumption in logistic regression we are doing the following:

Answer 22

There is linear relationship between the independent variables

Question 23

What statistic is recommended to interpret model fit and can also be used as pseudo measure of R2?

Answer 23

The -2 Log Likelihood

Question 24

An odds ratio > 1 means what?

Answer 24

Outcome is more likely for target level of IV

Question 25

An odds ratio < 1 means what?

Answer 25

Outcome is less likely for target level of IV

Question 26

An odds ratio = 1 means what?

Answer 26

No difference between groups

Question 27

The odds ratio is also referred to as what?

Answer 27

Exp(B)

Question 28

Odds ratios should always be interpreted in the context of what?

Answer 28

Prevalence