key words!!!!!

Question 1

correlation

Answer 1

measures the relationship between 2 continuous (or numerical) variables of interest- if something happens to X what happens to Y

Question 2

Pearson’s R

Answer 2

A statistic that quantifies the linear correlation between two variables ranging from -1 to 1

Question 3

Coefficient of determination

Answer 3

Tells us the proportion of variance in one variable that can be accounted for by the other variable

Question 4

Spearmans Rho

Answer 4

a non-parametric test correlation coefficient used for when data is not normally distributed

Question 5

intercorrelation

Answer 5

Association between more than 2 variables

Question 6

Bonferroni adjustment

Answer 6

conducting many correlations at once increases the chance of Type 1 error. Adjusts the significance level by dividing normal significance value by number of tests performed.

Question 7

Correlation matrix

Answer 7

can show you multiple correlations between variables at once

Question 8

y is response, x is…

Answer 8

predictor

Question 9

chi-squared

Answer 9

non-parametric tests of inference for categorical data

Question 10

cramer’s v

Answer 10

measures effect size