Lecture 8 and 9

Question 1

Regression is a statistical technique for ________

Answer 1

predicting outcomes of one variable using a different varialbe

Question 2

Type of regression:

One predictor (any level of data)

+

One I/R Outcome

Answer 2

Linear Regression

Question 3

Type of regression:

Multiple predictors (any level of data)

+

One I/R outcome

Answer 3

Multiple Linear Regression

Question 4

Type of regression:

One or more predictors of any level of data

+

One categorical outcome (with only 2 levels)

Answer 4

Logistical regression

Question 5

Type of regression:
One or more predictors (any level of data)
+
One categorical outcome w/ more than 2 levels

Answer 5

multinominal logistical regression

Question 6

Type of regression:
One or more predictor (any level)
+
one ordinal outcome w/ multiple levels

Answer 6

Ordinal Logistic regression

Question 7

What will an R of .9 look like on a pearson coorelation graph?

Answer 7

Positive slope w/ all dots very close to the line

Question 8

How do you use regression data to predict the outcome (data 2)

Unstandardized B
Constant: 4.264
Data 1: 1.044

Data 1: 5

Predict data 2?

Answer 8

4.264+ (5)1.044 = Data 2