Regression Flashcards
When is linear regression used?
Used when the relationship between variables x and y can be described with a straight line
Determines the strength of the relationship between x and y but it doesn’t tell us how much y changes based on a given change in x
a. Correlation
b. Regression
a. Correlation
Define correlation
Determines the strength of the relationship between x and y but it doesn’t tell us how much y changes based on a given change in x
Determines the strength of the relationship between x and y and tells us how much y changes based on a given change in x
a. Correlation
b. Regression
b. Regression
Define regression
Determines the strength of the relationship between x and y and tells us how much y changes based on a given change in x
By proposing a model of the relationship between x and y, regression allows us to …?
Estimate how much y will change as a result of a given change in x
Estimate how much y will change as a result of a given change in x
a. Correlation
b. Regression
b. Regression
Distinguishes between the variable being predicted and the variable(s) used to predict
a. Correlation
b. Regression
b. Regression
True or False?
Correlation distinguishes between the variable being predicted and the variable(s) used to predict
False
Regression distinguishes between the variable being predicted and the variable(s) used to predict
How many predictor variables are in a simple linear regression?
There is only one predictor variable
What is the variable that is being predicted?
a. x
b. y
b. y
What is the outcome variable?
a. x
b. y
b. y
What is the predictor variable?
a. x
b. y
a. x
What is the variable that is used to predict?
a. x
b. y
a. x
y is…?
a. The criterion variable
b. The dependent variable
c. The outcome variable
d. The predictor variable
e. The independent variable
f. The explanatory variable
a. The criterion variable
b. The dependent variable
c. The outcome variable
x is…?
a. The predictor variable
b. The dependent variable
c. The independent variable
d. The criterion variable
e. The outcome variable
f. The explanatory variable
a. The predictor variable
c. The independent variable
f. The explanatory variable
Why might researchers use regression?
List 3 reasons
- To investigate the strength of the effect x has on y
- To estimate how much y will change as a result of a given change in x
- To predict a future value of y, based on a known value of x
Makes the assumption that y is (to some extent) dependent on x
a. Correlation
b. Regression
b. Regression
True or False?
The dependence of y on x will always reflect causal dependency
False
The dependence of y on x may or may not reflect causal dependency
True or False?
Regression provides direct evidence of causality
False
Regression does not provide direct evidence of causality
Linear regression consists of 3 stages
What are they?
- Analysing the relationship between variables
- Proposing a model to explain that relationship
- Evaluating the model
- Analysing the relationship between variables
- Proposing a model to explain that relationship
- Evaluating the model
These are stages of…?
a. Regression
b. Correlation
c. ANOVA
d. t-test
a. Regression
The first stage of regression involves analysing the relationship between variables
How do we do this?
By determining the strength and direction of the relationship (equivalent to correlation)
The second stage of regression involves proposing a model to explain the relationship
How do we do this?
By drawing the line of best-fit (regression line)