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Question 1

Multiple Regression:

Answer 1

Multi,de Regression involves predicting the value of a dependant variable (CV) based on 2 or more independent variables (PV)

Question 2

Binary Logistic regression:

Answer 2

logistic regression is used to investigate the relationship of multiple PVs with one CV

Question 3

Odds ratio

Answer 3

Represents the odds of the outcome occurring for one unit increase in PV

Question 4

Odds ratio

Answer 4

Represents the odds of the outcome occurring for one unit increase in PV

Question 5

Corelation:

Answer 5

measure of the strengh /direction of
the relationship between 2 variables

Question 6

Pearson correlation coefficent:

Answer 6

ranges -1 01/ linear relationship

Question 7

Bivariete correlation :

Answer 7

measure of association between 2 variables but doesn’t account for influence of additional variables

Question 8

Criterion variable

Answer 8

the CV is what outcome variable the
study aims to predict

Question 9

Predictor variables

Answer 9

predictor variables = variables used to predict CV

Question 10

different formlas for calculating sample size

Answer 10

1) N > 50 + 8(m) / N > 50 + 8(no. Of PVs)
2) 15 participants per PV

Question 11

Percentage variance

Answer 11

percentage variance is given by R^2 change

Question 12

Standardised beta value

Answer 12

shows how much the CV is predicted to change with one standard deviation change