Lecture 4- correlation

Question 1

what is correlation and what does it look into

Question 2

what does positive correlation mean and what is an example

Question 3

what does negative correlation mean and what is an example

Question 4

what is the correlation coefficient

Question 5

what are the 2 types of coefficient

Question 6

what does r=0 mean

Question 7

what does r=1 mean

Question 8

what does r= -1 mean

Question 9

what is a scatter graph and what is an example

Question 10

what does r=0.50 look like

Question 11

what does r=0.90 look like

Question 12

what does r=1.00 look like

Question 13

what does r=-0.50 look like

Question 14

what does r= -0.90 look like

Question 15

what does r= -1.00 look like

Question 16

what is the Pearson correlation coefficient assumptions mean

Question 17

what does a significant correlation not always mean

Question 18

do we always need to say strength, direction and p values

Question 19

what does a partial correlation mean

Question 20

what is the next step if a correlation coefficient is significant

Question 21

what is regression analysis

Question 22

what is the equation for regression

Question 23

what is the equation for the dependant variable

Question 24

what do the types of regression depend on

Question 25

what are the 2 types of regression and what are they

Question 26

what is the Coefficient of Determination R2

Question 27

as the number of predictors increases, what also increases

Question 28

what are predictor variables also known as

Question 29

what are predictor variables

Question 30

what od multiple regression outputs look at

Question 31

what is the standardised beta coefficient

Question 32

what square values relate to variance

Question 33

what is the r square

Question 34

what is the adjusted r square