Chapter 3.1

Question 1

a statistical tool used to measure the relationship between two or more variables

Answer 1

correlation

Question 2

correlation in the same direction. (e.g., a increases, b increases)

Answer 2

positive correlation

Question 3

correlation in the opposite direction (e.g., a increases, b decreases)

Answer 3

negative correlation

Question 4

no relationship between two variables (e.g, a changes, b remains constant)

Answer 4

no or zero correlation

Question 5

Focuses on the relationship between two variables, while accounting for the influence of other variables

Answer 5

partial correlation

Question 6

measures the strength of the relationship between a single dependent variable and two or more independent variables

Answer 6

multiple correlation

Question 7

ratio of change is NOT constant

Answer 7

non-linear correlation

Question 8

ratio of change is CONSTANT

Answer 8

linear correlation

Question 9

values for each pair of a variable is plotted on a graph in the form of dots

Answer 9

scatter diagram method

Question 10

a mathematical method wherein the numerical expression is used to calculate the degree and direction of the relationship between continuous and linear related variables

Answer 10

karl pearson’s coefficient of correlation

Question 11

when the variables X and Y are independent, the coefficient of correlation is ____

Answer 11

zero

Question 12

type of correlation wherein the line is rising from lower left-hand corner to upper right-hand corner

Answer 12

perfect positive correlation (r= +1)

Question 13

type of correlation wherein the line is falling from upper left-hand corner to lower right-hand corner

Answer 13

perfect negative correlation (r= -1)

Question 14

indicates a strong relationship between two variables (points are plotted under narrow band)

Answer 14

high degree ± values

Question 15

points are haphazardly scattered, no specific pattern

Answer 15

low degree ± values

Question 16

points are haphazardly scattered, no specific pattern

Answer 16

no correlation

Question 17

using the square root of the product of two regression coefficient

Answer 17

method of least squares

Question 18

used to determine probable change in on variable ror the given amount of change in another

Answer 18

regression analysis

Question 19

a single line that best fits data, used to minimise the squared deviations of predictions

Answer 19

regression line

Question 21

when variables are independent, the correlation will be ____

Answer 21

zero

Question 22

artificial dichotomous + interval/ ratio

Answer 22

point biserial

Question 23

Nominal true dichotomous + nominal (true/ artificial)

Answer 23

Phi Coefficient

Question 24

Artificial dichotomous + Artificial Dichotomous

Answer 24

Tetrachoric

Question 25

3 or more ordinal/rank

Answer 25

Kendall's

Question 26

comparison/determining differences, 2 different groups/ independent samples + interval/ratio scales

Answer 26

T-test independent

Question 27

1 groups nominal + 2 treatments

Answer 27

t-test dependent

Question 28

3 or more groups tested once

Answer 28

one-way anova

Question 29

1 group measured 3 times

Answer 29

One-way repeated measures

Question 30

3 or more groups tested for 2 variables

Answer 30

Two way anova

Question 31

used to control for an additional variable

Answer 31

ANCOVA