Correlation

Question 1

what does a scattergram tell you

Answer 1

type of relationship
direction 
cluster (hugginess) 
gaps 
outliers

Question 2

what is covariance

Answer 2

not standardised

cross-product deviations (comparing 2 variables)

Question 3

what is variance

Answer 3

comparing 1 variable

Question 4

a scattergram can be

Answer 4

linear
curvilinear
none (random)

Question 5

mathematical assumptions of pearsons r

Answer 5

interval scale at least

normality

Question 6

normality is

Answer 6

normal skew 
normal kurtosis 
unimodal 
no outliers 
non sig. shapiro wilk >0.05

Question 7

pearsons r reveals

Answer 7

linear correlation
range 
direction 
magnitude 
significance

Question 8

cohens weak, mod, strong for r

Answer 8

.1
.3
.5

Question 9

cohens effect size for r squared

Answer 9

.01 w
.09 m
.25 s

Question 10

factors affecting r

Answer 10

sample size
range restriction
heterogenous samples

Question 11

multicollineararity

Answer 11

more circle cross over

Question 12

ordinal data use

Answer 12

spearman

kendal

Question 13

categoric and interval data use

Answer 13

eta

point biserial

Question 14

categorical data use to test correlation

Answer 14

chi squared

Question 15

categorical data use to test effect

Answer 15

phi (2x2)

kramer (more than 2x2)

Question 16

mathematical assumptions for chi

Answer 16

independent observations

call frequency more than 5

Question 17

if not independent observations use to test correlation

Answer 17

mcnemar

Question 18

if not more than 5 cell frequencies use

Answer 18

fisher