3. Simple linear regression Flashcards Preview

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Flashcards in 3. Simple linear regression Deck (20):
1

What is a recursive model?

A path diagram where all arrows go in one direction

2

What are two types of recursive models?

saturated
unsaturated

3

What does a saturated path model include?

All possible paths
Is not parsimonious (everything is explored - not simple)

4

What does a unsaturated path model include?

Only some causal paths

5

What are non-recursive models analysed using?

SEM
or
Two stage least squares regression

6

What is the difference between recursive and non-recursive models?

Recursive (successive)
Non Recursive (reciprocal)

7

What does it mean if Pearson r = 0?

No linear relationship

8

What does a large gap in a scattergram suggest?

2 different groups of scores

9

Calculation of Pearson r can be done on what sort of variables?

Interval
or
Dichotomous (point biserial correlation)

10

What is p hacking?

Using a one-tailed test to get a sig. result

11

What is the difference between correlation and regression?

Correlation: presence of relationship between X and Y (don't know how much)
Regression: How much effect X has on Y

12

What is represented in an OLS regression?

the regression line (of best fit)

13

Which do you report out of r sq and adj r sq and why?

Adj R sq
It is a better estimate in population

14

What does the ANOVA table tell you?

The goodness of fit

15

SST is a sum of squared differences between the?

Observed values on DV
and
The mean

16

SSR is a sum of squared differences between the?

Observed values on DV
and
Predicted values on DV

17

SSM is the difference between the?

SST
and
SSR

18

SSM df?

k

19

SSR df?

N - k - 1

20

SST df?

N - 1