PARAMETRIC Pt.3

Question 1

• Determines whether there exists a relationship between variables

Answer 1

Correlation

Question 2

movement together
- ρ(x,y) = ρ(y,x)

Answer 2

Correlation

Question 3

Describe the nature of the relationship between variables.

Answer 3

Regression

Question 4

• one variable affects the other
• cause and effect
• one way

Answer 4

Regression

Question 5

2 TYPES OF RELATIONSHIPS

Answer 5

Simple Relationship
Multiple Relationship

Question 6

1 independent (explanatory/predictor) and 1 dependent (response) variable
- can also be positive (directly proportional) and negative (inversely proportional)

Answer 6

Simple Relationship

Question 7

• multiple regression
• > 2 independent variables are used to predict 1 dependent variable

Answer 7

Multiple Relationship

Question 8

This ___________ means that there is no correlation between the x and y variables in the population.

Answer 8

null hypothesis

Question 9

This _________________ means that there is a significant correlation between the variables in the population.

Answer 9

alternative hypothesis

Question 10

PEARSON PRODUCT MOMENT CORRELATION COEFFICIENT

Answer 10

SCATTER PLOTS

Question 11

• determines the strength of the linear relationship between two variables.

Answer 11

Correlation Coefficient

Question 12

2 types of Correlation Coefficient

Answer 12

population & linear

Question 13

• denoted by the Greek letter ρ is the correlation computed by using all possible pairs of data values (x, y) taken from a population.

Answer 13

Population correlation coefficient

Question 14

Population correlation coefficient is denoted by

Answer 14

ρ

Question 15

measures the strength and direction of a linear relationship between two quantitative variables.

Answer 15

Linear correlation coefficient

Question 16

The symbol for the sample correlation
coefficient is

Answer 16

r

Question 17

Linear correlation coefficient is also called

Answer 17

Pearson product moment correlation coefficient (PPMC)

Question 18

Pearson product moment correlation coefficient (PPMC) is also known as

Answer 18

Linear correlation coefficient

Question 19

Range of the linear correlation coefficient is from

Answer 19

-1 to +1

Question 20

the value of r will be close to +1.

Answer 20

Strong positive linear relationship

Question 21

the value of r will be close to -1.

Answer 21

Strong negative linear relationship

Question 22

weak realtionship

Answer 22

No linear relationship

Question 23

the value of r will be close to 0.

Answer 23

No linear relationship

Question 24

implies only that there is _______________ between the variables

Answer 24

No linear relationship

Question 25

x causes y | There is a _______ cause-and-effect relationship between the variables.

Answer 25

direct

Question 26

y causes x | There is a _________ cause-and-effect relationship between the variables.

Answer 26

reverse

Question 27

When the null hypothesis has been rejected for a specific α value, any of the following five possibilities can exist.

Answer 27

1. There is a direct cause-and-effect relationship between the variables. 2. There is a reverse cause-and-effect relationship between the variables. 3. The relationship between the variables may be caused by a third variable. 4. There may be a complexity of interrelationships among many variables. 5. The relationship may be coincidental.

Question 28

- The sample must be randomly selected from the population - The population must be normally distributed for the variable under study - The observations must be independent of one another

Answer 28

CHI-SQUARE DISTRIBUTION (1 VARIANCE)