Week 14 Chapter 14

Question 1

Spearman correlation

Answer 1

relationship between two variables when both are measured in ordinal scales

Question 2

point-biserial correlation

Answer 2

relationship between two variables, one consisting of regular scores and the second having two values

Question 3

phi-coefficient

Answer 3

relationship between two variables when both measured for each individual are dichotomous

Question 4

correlation

Answer 4

statistical technique used to measure and describe the relationship between two variables

Question 5

positive correlation

Answer 5

relationship in which two variables tend to change in the same direction

Question 6

negative correlation

Answer 6

correlation in which two variables tend to go in opposite directions

Question 7

perfect correlation

Answer 7

relationship of 1.00, indicating an exactly consistent relationship

Question 8

Pearson correlation

Answer 8

measure of the degree and the direction of the linear relationship between two variables

Question 9

linear relationship

Answer 9

indicator of how well the data points fit a straight rule

Question 10

sum of products of deviations

Answer 10

measure of the amount of covariability between two variables

Question 11

outlier

Answer 11

extreme datum point

Question 12

restricted range

Answer 12

set of scores that do not represent the full range of possible values

Question 13

coefficient of determination

Answer 13

measure of proportion of variability in one variable determined from the relationship with another variable

Question 14

correlation matrix

Answer 14

diagram of results from multiple relationships

Question 15

monotonic relationship

Answer 15

consistently one-directional relationship between two variables

Question 16

dichotomous variable

Answer 16

quantity with only two values

Question 17

linear relationship

Answer 17

equation expressed by the equation Y = bX + a

Question 18

slope

Answer 18

value which determines how much Y variable changes when X is increased by one point

Question 19

Y-intercept

Answer 19

value which determines the value of Y when X = 0

Question 20

regression

Answer 20

statistical technique for finding the best-fitting straight rule for a set of data

Question 21

least-squared-error solution

Answer 21

best-fitting rule with the smallest total squared error

Question 22

regression equation for Y

Answer 22

linear equation

Question 23

standard error of estimate

Answer 23

measure of standard distance between predicted Y values on regression line and actual Y values

Question 24

analysis of regression

Answer 24

process of testing the significance of a regression equation