Deck 8: Correlation

Question 1

A curvilinear relationship between X and Y won't allow you to calculate a beneficial correlation?

Answer 1

True

Question 2

There is a correlation of .4 between annual wage and numbers of years of teaching experience.Based on this it can be concluded that?

A)A teacher with 40 years' experience earns £40,000.
B)Wage increases with additional years experience.
C)Teachers will start on a salary of £40,000.
D)More years of teaching experience are associated with higher annual wage.

Answer 2

D

Question 3

If the Pearson correlation co-efficient r = 1,then there is a perfect negative relationship between the two variables?

Answer 3

False

Question 4

What is the correlation between the following? $$\begin{array} { c c } X&Y\\1.3 & 1.6 \\- 1.2 & - 1.0 \\- 0.1 & - 0.2 \\0.5 & 0.3 \\- 0.8 & - 0.6\end{array}$$

A).79
B)-.79
C)-.97
D).97

Question 5

Correlation is the association between two variables?

Question 6

If R² = .89,how relevant does the line of best fit become when making a prediction?

A)Very relevant
B)Irrelevant
C)Slightly relevant
D)Impossible

Question 7

What does m represent in the equation Y = mX + C for a straight line?

A)Independent variable
B)Dependent variable
C)Slope
D)Intercept

Question 8

If the slope of the regression line is 2.5,and the intercept 16,then when X is 4,Y is?

A)6
B)15
C)26
D)36

Question 9

If paired scores (high with high,low with low)occupy the same positions within their distributions,then?

A)Pearson's r will be low and negative.
B)Pearson's r will be high and positive.
C)Pearson's r will be exactly zero.
D)The standard error will be high.

Question 10

Which of the following is a use for r?

A)Validity
B)Power analysis
C)Segregation
D)Error

Question 11

Which of the following indicates the strongest relationship

Question 12

R² is the notation for?

A)The coefficient of determination
B)The coefficient of variation
C)The coefficient of correlation
D)The coefficient of error

Question 13

In the equation in Q12,if C = 0,then?

A)The line of best fit intercepts the origin.
B)The line of best fit intercepts the Y-axis above the Y-axis.
C)The line of best fit intercepts the X-axis to the right of the Y-axis.
D)The line of best fit does not intercept either the Y- or X-axis.

Question 14

In the same equation,if m = -2,then?

A)There is a perfect relationship between X and Y.
B)There is a positive relationship between X and Y.
C)There is no relationship between X and Y.
D)There is a negative relationship between the two variables.

Question 15

If Spearman's coefficient of rank correlation is 1 then the rankings of the two variables will be totally different.

Question 16

The main purpose of the coefficient of determination is to?

A)Predict the mean value of X
B)Dismiss the null hypothesis
C)Eliminate sampling errors
D)Predict future outcomes on the basis of other related information

Question 17

If m = 0,then when?

A)X increases,Y remains constant.
B)Y increases,X increases.
C)X decreases,Y decreases.
D)X increases,Y decreases.

Question 18

What does a high correlation between two variables show?

A)The potential to predict changes in one variable based on changes to the other
B)That when plotted on a graph,there will be no intercept
C)That nothing else affects the relationship
D)That high scores in one variable lead to low values in the other

Question 19

Which of the following may have an adverse effect on a correlation coefficient? a Too many participants
B)Eliminating all possible sources of error
C)Restricting the range of possible scores
D)Too few participants

Question 20

In calculating r with raw scores,r (as a numerator)represents the covariance of X and Y.

Question 21

If there is a positive correlation between hours spent attending lectures and final grade of degree achievement,then it can be concluded that?

A)Spending more time attending lectures will improve degree success.
B)The degree score can be accurately predicted from number of hours of lectures attended.
C)Students who attend most lectures get the highest grade of degree.
D)There is not enough information to infer anything

Question 22

The variable predicted in a prediction study is?

A)Criterion variable
B)Predictor variable
C)Effect variable
D)Regression variable

Question 23

Using several variables to predict the category a participant has been assigned to is called what?

A)Prediction sampling
B)Multiple linear regression
C)Discriminant function analysis
D)Log-linear analysis

Question 24

For which of the following correlations is the standard error of estimate greatest?

A).20
B).30
C).40
D).45

Question 25

When two variables are correlated with each other and with a third variable,which type of correlation is suggested?

A)Weak
B)Partial
C)Perfect
D)Negative