Question 1

The coefficient of determination is the proportion of total variation in X that is explained by Y.

Accepted Answer

A) True 
 B)False

Question 2

If there is absolutely no relationship between two variables,what will Pearson's r equal? _____

Accepted Answer

The answer of If there is absolutely no relationship between...

Question 3

A coefficient of correlation of -0.96 indicates a very weak negative correlation.

Accepted Answer

A) True 
 B)False

Question 4

What is the range of values for a coefficient of correlation?

Accepted Answer

A) 0 to +1.0 
B) -3 to +3 inclusive 
C) -1.0 to +1.0 inclusive 
D) Unlimited range 
A) 0 to +1.0 
B) -3 to +3 inclusive 
C) -1.0 to +1.0 inclusive 
D) Unlimited range

Question 5

Based on the regression equation,we can

Accepted Answer

A) predict the value of the dependent variable given a value of the independent variable. 
B) predict the value of the independent variable given a value of the dependent variable. 
C) measure the association between two variables. 
D) all of these. 
A) predict the value of the dependent variable given a value of the independent variable. 
B) predict the value of the independent variable given a value of the dependent variable. 
C) measure the association between two variables. 
D) all of these.

Question 6

When analyzing a curvilinear relationship between dependent and independent variables,a transformation of the data is necessary.

Accepted Answer

A) True 
 B)False

Question 7

Using the following information:     What is the correlation coefficient?

Accepted Answer

A) 0.81 
B) 0.958 
C) - 0.84 
D) 0.006 
A) 0.81 
B) 0.958 
C) - 0.84 
D) 0.006

Question 8

The standard error of estimate measures the accuracy of a prediction.

Accepted Answer

A) True 
 B)False

Question 9

The coefficient of correlation r is often referred to as the Pearson product-moment correlation coefficient.

Accepted Answer

A) True 
 B)False

Question 10

In the equation   = a + bX,what is   ?

Accepted Answer

A) Slope of the line 
B) Y intercept 
C) Predicted value of Y,given a specific X value 
D) Value of Y when X = 0 
A) Slope of the line 
B) Y intercept 
C) Predicted value of Y,given a specific X value 
D) Value of Y when X = 0

Question 11

Which of the following are true assumptions underlying linear regression: 1)for each value of X,there is a group of Y values which is normally distributed;2)the means of these normal distributions of Y values all lie on the straight line of regression;and/or 3)the standard deviations of these normal distributions are equal?

Accepted Answer

A) Only (1)and (2) 
B) Only (1)and (3) 
C) Only (2)and (3) 
D) All of them 
A) Only (1)and (2) 
B) Only (1)and (3) 
C) Only (2)and (3) 
D) All of them

Question 12

Using the following information:     If testing the hypothesis: H0:   = 0,the computed t - statistic is:

Accepted Answer

A) 9.45 
B) 8.84 
C) 8.18 
D) Cannot be computed 
A) 9.45 
B) 8.84 
C) 8.18 
D) Cannot be computed

Question 13

A confidence interval can be determined for the mean value of X for a given value of Y.

Accepted Answer

A) True 
 B)False

Question 14

Which of the following statements regarding the coefficient of correlation is true?

Accepted Answer

A) It ranges from -1.0 to +1.0 inclusive 
B) It measures the strength of the relationship between two variables 
C) A value of 0.00 indicates two variables are not related 
D) All of these 
A) It ranges from -1.0 to +1.0 inclusive 
B) It measures the strength of the relationship between two variables 
C) A value of 0.00 indicates two variables are not related 
D) All of these

Question 15

A hypothesis test is conducted at the .05 level of significance to test whether or not the population correlation is zero.If the sample consists of 25 observations and the correlation coefficient is 0.60,what is the computed value of the test statistic?

Accepted Answer

A) 1.96 
B) 2.07 
C) 2.94 
D) 3.60 
A) 1.96 
B) 2.07 
C) 2.94 
D) 3.60

Question 16

When comparing the 95% confidence and prediction intervals for a given regression analysis,

Accepted Answer

A) the confidence interval is wider than a prediction interval. 
B) the confidence interval is narrower than a prediction interval. 
C) there is no difference between confidence and prediction intervals. 
D) none of these. 
A) the confidence interval is wider than a prediction interval. 
B) the confidence interval is narrower than a prediction interval. 
C) there is no difference between confidence and prediction intervals. 
D) none of these.

Question 17

A sales manager for an advertising agency believes there is a relationship between the number of contacts and the amount of the sales.To verify this belief,the following data was collected:   The 95% prediction interval for a particular person making 30 calls is

Accepted Answer

A) 55.8,51.5 
B) 51.4,55.9 
C) 46.7,60.6 
D) 31.1,76.2 
A) 55.8,51.5 
B) 51.4,55.9 
C) 46.7,60.6 
D) 31.1,76.2

Question 18

What is the best model to describe a linear relationship between two variables? ________________________

Accepted Answer

The answer of What is the best model to describe...

Question 19

The correlation coefficient is the proportion of total variation in Y that is explained by X.

Accepted Answer

A) True 
 B)False

Question 20

One assumption underlying linear regression is that for each value of X there is a group of Y values that is normally distributed.

Accepted Answer

A) True 
 B)False

The coefficient of determination is the proportion of total variation in X that is explained by Y.

If there is absolutely no relationship between two variables,what will Pearson's r equal? _____

A coefficient of correlation of -0.96 indicates a very weak negative correlation.

What is the range of values for a coefficient of correlation?

Based on the regression equation,we can

When analyzing a curvilinear relationship between dependent and independent variables,a transformation of the data is necessary.

Using the following information: What is the correlation coefficient?

The standard error of estimate measures the accuracy of a prediction.

The coefficient of correlation r is often referred to as the Pearson product-moment correlation coefficient.

In the equation = a + bX,what is ?

Using the following information: If testing the hypothesis: H₀: = 0,the computed t - statistic is:

A confidence interval can be determined for the mean value of X for a given value of Y.

Which of the following statements regarding the coefficient of correlation is true?

A hypothesis test is conducted at the .05 level of significance to test whether or not the population correlation is zero.If the sample consists of 25 observations and the correlation coefficient is 0.60,what is the computed value of the test statistic?

When comparing the 95% confidence and prediction intervals for a given regression analysis,

A sales manager for an advertising agency believes there is a relationship between the number of contacts and the amount of the sales.To verify this belief,the following data was collected: The 95% prediction interval for a particular person making 30 calls is

What is the best model to describe a linear relationship between two variables? ________________________

The correlation coefficient is the proportion of total variation in Y that is explained by X.

One assumption underlying linear regression is that for each value of X there is a group of Y values that is normally distributed.

What Is Statistics

Describing Data: Frequency Distributions and Graphic Presentations

Describing Data: Numerical Measures

Describing Data: Displaying and Exploring Data

A Survey of Probability Concepts

Discrete Probability Distributions

Continuous Probability Distributions

Sampling Methods and the Central Limit Theorem

Estimation and Confidence Intervals

One-Sample Tests of Hypothesis

Two-Sample Tests of Hypothesis

Analysis of Variance

Multiple Regression and Correlation Analysis

Chi-Square Applications

Filters

Exam 13: Linear Regression and Correlation

The coefficient of determination is the proportion of total variation in X that is explained by Y.

If there is absolutely no relationship between two variables,what will Pearson's r equal? _____

A coefficient of correlation of -0.96 indicates a very weak negative correlation.

What is the range of values for a coefficient of correlation?

Based on the regression equation,we can

When analyzing a curvilinear relationship between dependent and independent variables,a transformation of the data is necessary.

Using the following information: What is the correlation coefficient?

The standard error of estimate measures the accuracy of a prediction.

The coefficient of correlation r is often referred to as the Pearson product-moment correlation coefficient.

In the equation = a + bX,what is ?

Using the following information: If testing the hypothesis: H0: = 0,the computed t - statistic is:

A confidence interval can be determined for the mean value of X for a given value of Y.

Which of the following statements regarding the coefficient of correlation is true?

A hypothesis test is conducted at the .05 level of significance to test whether or not the population correlation is zero.If the sample consists of 25 observations and the correlation coefficient is 0.60,what is the computed value of the test statistic?

When comparing the 95% confidence and prediction intervals for a given regression analysis,

A sales manager for an advertising agency believes there is a relationship between the number of contacts and the amount of the sales.To verify this belief,the following data was collected: The 95% prediction interval for a particular person making 30 calls is

What is the best model to describe a linear relationship between two variables? ________________________

The correlation coefficient is the proportion of total variation in Y that is explained by X.

One assumption underlying linear regression is that for each value of X there is a group of Y values that is normally distributed.

What Is Statistics

Describing Data: Frequency Distributions and Graphic Presentations

Describing Data: Numerical Measures

Describing Data: Displaying and Exploring Data

A Survey of Probability Concepts

Discrete Probability Distributions

Continuous Probability Distributions

Sampling Methods and the Central Limit Theorem

Estimation and Confidence Intervals

One-Sample Tests of Hypothesis

Two-Sample Tests of Hypothesis

Analysis of Variance

Multiple Regression and Correlation Analysis

Chi-Square Applications

Filters

Using the following information: If testing the hypothesis: H₀: = 0,the computed t - statistic is: