Question 1

Use the data below to answer questions:
  
-Y is predicted to be 10.8 when X equals 	--------------?

Accepted Answer

A)  4.8 
B)  10 
C)  10.8 
D)  12 
A)  4.8 
B)  10 
C)  10.8 
D)  12 B

Question 2

In the linear regression equation, Y=a+bx, the coefficient, "b" represents 	-----------.

Accepted Answer

A)  the predicted value of y 
B)  the y-intercept 
C)  slope 
D)  Pearson's r 
A)  the predicted value of y 
B)  the y-intercept 
C)  slope 
D)  Pearson's r C

Question 3

In the linear regression equation, "a" represents the y-intercept.

Accepted Answer

A) True 
 B)False  True

Question 4

Based on the equation in question 4, what type of correlation appears to exist in the data?

Accepted Answer

A)  positive 
B)  negative 
C)  symmetrical 
D)  There is no correlation. 
A)  positive 
B)  negative 
C)  symmetrical 
D)  There is no correlation.

Question 5

Consider the following linear regression prediction equation: Y = 4 + (-4.2)X. If X=2, what is the predicted value of Y for this observation?

Accepted Answer

A)  -7.8 
B)  -4.4 
C)  4 
D)  12.4 
A)  -7.8 
B)  -4.4 
C)  4 
D)  12.4

Question 6

A Pearson's r of -.9 represents a stronger association than an r of .60.

Accepted Answer

A) True 
 B)False

Question 7

Based on the equation in question 1, what type of correlation appears to exist in the data?

Accepted Answer

A)  positive 
B)  negative 
C)  symmetrical 
D)  There is no correlation. 
A)  positive 
B)  negative 
C)  symmetrical 
D)  There is no correlation.

Question 8

Use the data below to answer questions:
  
-What is the y-intercept?

Accepted Answer

A)  -1.2 
B)  0 
C)  1.2 
D)  5 
A)  -1.2 
B)  0 
C)  1.2 
D)  5

Question 9

If r2 =.60, what percent of the variation in the dependent variable is left unexplained
By the independent variable?

Accepted Answer

A)  .4 
B)  .6 
C)  40 
D)  60 
A)  .4 
B)  .6 
C)  40 
D)  60

Question 10

Use the data below to answer questions:
  
-What is the t-ratio?

Accepted Answer

A)  0 
B)  3.8 
C)  4.6 
D)  34 
A)  0 
B)  3.8 
C)  4.6 
D)  34

Question 11

Use the data below to answer questions:
  
-What is the slope?

Accepted Answer

A)  -1.2 
B)  0 
C)  1.2 
D)  5 
A)  -1.2 
B)  0 
C)  1.2 
D)  5

Question 12

Use the data below to answer questions:
  
-What is the sum of squares for the independent variable?

Accepted Answer

A)  0 
B)  28 
C)  30 
D)  34 
A)  0 
B)  28 
C)  30 
D)  34

Question 13

Use the data below to answer questions:
  
-What is the sum of squares for the dependent variable?

Accepted Answer

A)  0 
B)  28 
C)  34 
D)  50 
A)  0 
B)  28 
C)  34 
D)  50

Question 14

Use the data below to answer questions:
  
-What is the value of Pearson's r?

Accepted Answer

A)  0 
B)  .34 
C)  .91 
D)  1 
A)  0 
B)  .34 
C)  .91 
D)  1

Question 15

Consider the following linear regression prediction equation: Y = 12 + 3X. If X = 7, what is the predicted value of Y for this observation?

Accepted Answer

A)  3 
B)  12 
C)  21 
D)  33 
A)  3 
B)  12 
C)  21 
D)  33

Question 16

Use the data below to answer questions:
  
-What is the sum of products?

Accepted Answer

A)  0 
B)  28 
C)  34 
D)  50 
A)  0 
B)  28 
C)  34 
D)  50

Question 17

Use the data below to answer questions:
  
-What is the direction of the relationship between these variables?

Accepted Answer

A)  positive 
B)  negative 
C)  symmetrical 
D)  There is no correlation. 
A)  positive 
B)  negative 
C)  symmetrical 
D)  There is no correlation.

Question 18

If r2 =.40, what percent of the variation in the dependent variable is explained by the independent variable?

Accepted Answer

A)  .4 
B)  .6 
C)  40 
D)  60 
A)  .4 
B)  .6 
C)  40 
D)  60

Question 19

Use the data below to answer questions:
  
-What is the predicted value of Y when X equals 5?

Accepted Answer

A)  -1.2 
B)  1.2 
C)  4.8 
D)  5 
A)  -1.2 
B)  1.2 
C)  4.8 
D)  5

Question 20

r2 represents the percent of total variance in the independent variable that is explained by the dependent variable.

Accepted Answer

A) True 
 B)False

Use the data below to answer questions: -Y is predicted to be 10.8 when X equals --------------?

In the linear regression equation, Y=a+bx, the coefficient, "b" represents -----------.

In the linear regression equation, "a" represents the y-intercept.

Based on the equation in question 4, what type of correlation appears to exist in the data?

Consider the following linear regression prediction equation: Y = 4 + (-4.2)X. If X=2, what is the predicted value of Y for this observation?

A Pearson's r of -.9 represents a stronger association than an r of .60.

Based on the equation in question 1, what type of correlation appears to exist in the data?

Use the data below to answer questions: -What is the y-intercept?

If r² =.60, what percent of the variation in the dependent variable is left unexplained By the independent variable?

Use the data below to answer questions: -What is the t-ratio?

Use the data below to answer questions: -What is the slope?

Use the data below to answer questions: -What is the sum of squares for the independent variable?

Use the data below to answer questions: -What is the sum of squares for the dependent variable?

Use the data below to answer questions: -What is the value of Pearson's r?

Consider the following linear regression prediction equation: Y = 12 + 3X. If X = 7, what is the predicted value of Y for this observation?

Use the data below to answer questions: -What is the sum of products?

Use the data below to answer questions: -What is the direction of the relationship between these variables?

If r² =.40, what percent of the variation in the dependent variable is explained by the independent variable?

Use the data below to answer questions: -What is the predicted value of Y when X equals 5?

r² represents the percent of total variance in the independent variable that is explained by the dependent variable.

Concepts, Variables, and Measurement

Frequency Tables

Measures of Central Tendency

Measures of Dispersion

Probability and the Normal Curve

Probabilityfrom Samples to Statistics

Cross-Tabulation Tables and Chi-Square

Measures of Association for Categorical Variables

Analysis of Variance

Filters

Exam 10: Correlation and Regression

Use the data below to answer questions: -Y is predicted to be 10.8 when X equals --------------?

In the linear regression equation, Y=a+bx, the coefficient, "b" represents -----------.

In the linear regression equation, "a" represents the y-intercept.

Based on the equation in question 4, what type of correlation appears to exist in the data?

Consider the following linear regression prediction equation: Y = 4 + (-4.2)X. If X=2, what is the predicted value of Y for this observation?

A Pearson's r of -.9 represents a stronger association than an r of .60.

Based on the equation in question 1, what type of correlation appears to exist in the data?

Use the data below to answer questions: -What is the y-intercept?

If r2 =.60, what percent of the variation in the dependent variable is left unexplained By the independent variable?

Use the data below to answer questions: -What is the t-ratio?

Use the data below to answer questions: -What is the slope?

Use the data below to answer questions: -What is the sum of squares for the independent variable?

Use the data below to answer questions: -What is the sum of squares for the dependent variable?

Use the data below to answer questions: -What is the value of Pearson's r?

Consider the following linear regression prediction equation: Y = 12 + 3X. If X = 7, what is the predicted value of Y for this observation?

Use the data below to answer questions: -What is the sum of products?

Use the data below to answer questions: -What is the direction of the relationship between these variables?

If r2 =.40, what percent of the variation in the dependent variable is explained by the independent variable?

Use the data below to answer questions: -What is the predicted value of Y when X equals 5?

r2 represents the percent of total variance in the independent variable that is explained by the dependent variable.

Concepts, Variables, and Measurement

Frequency Tables

Measures of Central Tendency

Measures of Dispersion

Probability and the Normal Curve

Probabilityfrom Samples to Statistics

Cross-Tabulation Tables and Chi-Square

Measures of Association for Categorical Variables

Analysis of Variance

Filters

If r² =.60, what percent of the variation in the dependent variable is left unexplained By the independent variable?

If r² =.40, what percent of the variation in the dependent variable is explained by the independent variable?

r² represents the percent of total variance in the independent variable that is explained by the dependent variable.