Regression 1

Question 1

Explain the difference between regressions and correlations?

Answer 1

Regression tells you how 1 variable affects another variable

Correlations indicate the strength and direction of the variable relationship but don’t infer causality

Question 2

Independent variable aka

Answer 2

Predictor

Question 3

What is the equation for simple linear regression?

Answer 3

Y =a + bX

Y (DV)
X (IV)
A (constant)
B (gradient)

Question 4

Describe multiple regression

Answer 4

There can be more than one predictor (IV) for a single criterion (DV)

Question 5

List an example of simple regression

Answer 5

When renting a car - we could predict how much the price (DV) would increase - as the number of days we had the car (IV) increased

Question 6

When do you use multiple regression?

Answer 6

To examine the relationships between a set of predictor variables and a single outcome variable

Question 7

Give an example of when to use multiple regression

Answer 7

To study the relationship between statistics exam scores and

1- attitudes towards stats
2- maths anxiety
3- exam stress

Question 8

How is bivariate regression similar to bivariate correlation ?

Answer 8

Both are designed for situations in which there are just 2 variables (1 IV + 1 DV)