Question 1

In regression analysis,a transformation is used when.

Accepted Answer

A) the confidence interval is wider than a prediction interval. 
B) two variables are not independent. 
C) the relationship between dependent and independent variables is not linear. 
D) the correlation is near zero. 
A) the confidence interval is wider than a prediction interval. 
B) two variables are not independent. 
C) the relationship between dependent and independent variables is not linear. 
D) the correlation is near zero.

Question 2

Using the following information:     The regression analysis can be summarized as follows:

Accepted Answer

A) No significant relationship between the variables 
B) A significant negative relationship exists between the variables 
C) A significant positive relationship exists between the variables 
D) For every unit increase in X,Y decreases by 12.8094 
A) No significant relationship between the variables 
B) A significant negative relationship exists between the variables 
C) A significant positive relationship exists between the variables 
D) For every unit increase in X,Y decreases by 12.8094

Question 3

What is the range of values for the coefficient of determination?

Accepted Answer

A) -1 to +1 inclusive 
B) -100% to +100% inclusive 
C) -100% to 0% inclusive 
D) 0% to 100% inclusive 
A) -1 to +1 inclusive 
B) -100% to +100% inclusive 
C) -100% to 0% inclusive 
D) 0% to 100% inclusive

Question 4

A company wants to study the relationship between an employee's length of employment and their number of workdays absent.The company collected the following information on a random sample of seven employees.   What is the independent variable (X)? _________________

Accepted Answer

Number of

Question 5

Using the following information:     Estimate the value of   when X = 4.

Accepted Answer

A) 10.45 
B) 3.73 
C) 8.20 
D) Cannot be computed 
A) 10.45 
B) 3.73 
C) 8.20 
D) Cannot be computed

Question 6

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:   What is the value of the coefficient of determination?

Accepted Answer

A) 9.3104 
B) 0.9754 
C) 0.6319 
D) 0.9513 
A) 9.3104 
B) 0.9754 
C) 0.6319 
D) 0.9513

Question 7

Correlation analysis is a statistical technique used to measure the strength of the relationship between two variables.

Accepted Answer

A) True 
 B)False

Question 8

When analyzing data with regression,a transformation is necessary when the relationship between the dependent and independent variables is linear.

Accepted Answer

A) True 
 B)False

Question 9

If we reject the null hypothesis that tests a population correlation coefficient,what can we conclude about the correlation in the population?

Accepted Answer

A) It is zero 
B) It could be zero 
C) It is not zero 
D) It equals the computed sample correlation 
A) It is zero 
B) It could be zero 
C) It is not zero 
D) It equals the computed sample correlation

Question 10

The standard error of the estimate measures the scatter or dispersion of the observed values around a ____________________.

Accepted Answer

The answer of The standard error of the estimate measures...

Question 11

The least squares technique minimizes the sum of the squares of the vertical distances between the actual Y values and the predicted values of Y.

Accepted Answer

A) True 
 B)False

Question 12

The standard error of estimate is used to construct confidence intervals when the sample size is large and the scatter about the regression line is somewhat normally distributed.

Accepted Answer

A) True 
 B)False

Question 13

What is another name for the regression or estimating equation? ______________________________

Accepted Answer

The answer of What is another name for the regression...

Question 14

What do the coefficient of correlation and the slope of the regression line always have in common? __________________

Accepted Answer

The answer of What do the coefficient of correlation and...

Question 15

Using the following information:     What is the coefficient of determination?

Accepted Answer

A) 91.8% 
B) 8.2% 
C) 90.0% 
D) Cannot be computed 
A) 91.8% 
B) 8.2% 
C) 90.0% 
D) Cannot be computed

Question 16

Pearson's product-moment correlation coefficient,r,requires that the data be interval or ratio scaled,such as incomes and weights.

Accepted Answer

A) True 
 B)False

Question 17

What can we conclude if the coefficient of determination is 0.94?

Accepted Answer

A) Strength of relationship is 0.94. 
B) Direction of relationship is positive. 
C) 94% of total variation of one variable is explained by variation in the other variable. 
D) A and B are correct. 
A) Strength of relationship is 0.94. 
B) Direction of relationship is positive. 
C) 94% of total variation of one variable is explained by variation in the other variable. 
D) A and B are correct.

Question 18

The technique used to measure the strength of the relationship between two variables using the coefficient of correlation and the coefficient of determination is called regression analysis.

Accepted Answer

A) True 
 B)False

Question 19

What principle is applied when calculating the regression coefficients? _________________

Accepted Answer

Principle

Question 20

If the coefficient of correlation is -0.50,the coefficient of determination is +0.25.

Accepted Answer

A) True 
 B)False

In regression analysis,a transformation is used when.

Using the following information: The regression analysis can be summarized as follows:

What is the range of values for the coefficient of determination?

A company wants to study the relationship between an employee's length of employment and their number of workdays absent.The company collected the following information on a random sample of seven employees. What is the independent variable (X)? _________________

Using the following information: Estimate the value of when X = 4.

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: What is the value of the coefficient of determination?

Correlation analysis is a statistical technique used to measure the strength of the relationship between two variables.

When analyzing data with regression,a transformation is necessary when the relationship between the dependent and independent variables is linear.

If we reject the null hypothesis that tests a population correlation coefficient,what can we conclude about the correlation in the population?

The standard error of the estimate measures the scatter or dispersion of the observed values around a ____________________.

The least squares technique minimizes the sum of the squares of the vertical distances between the actual Y values and the predicted values of Y.

The standard error of estimate is used to construct confidence intervals when the sample size is large and the scatter about the regression line is somewhat normally distributed.

What is another name for the regression or estimating equation? ______________________________

What do the coefficient of correlation and the slope of the regression line always have in common? __________________

Using the following information: What is the coefficient of determination?

Pearson's product-moment correlation coefficient,r,requires that the data be interval or ratio scaled,such as incomes and weights.

What can we conclude if the coefficient of determination is 0.94?

The technique used to measure the strength of the relationship between two variables using the coefficient of correlation and the coefficient of determination is called regression analysis.

What principle is applied when calculating the regression coefficients? _________________

If the coefficient of correlation is -0.50,the coefficient of determination is +0.25.

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

In regression analysis,a transformation is used when.

Using the following information: The regression analysis can be summarized as follows:

What is the range of values for the coefficient of determination?

A company wants to study the relationship between an employee's length of employment and their number of workdays absent.The company collected the following information on a random sample of seven employees. What is the independent variable (X)? _________________

Using the following information: Estimate the value of when X = 4.

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: What is the value of the coefficient of determination?

Correlation analysis is a statistical technique used to measure the strength of the relationship between two variables.

When analyzing data with regression,a transformation is necessary when the relationship between the dependent and independent variables is linear.

If we reject the null hypothesis that tests a population correlation coefficient,what can we conclude about the correlation in the population?

The standard error of the estimate measures the scatter or dispersion of the observed values around a ____________________.

The least squares technique minimizes the sum of the squares of the vertical distances between the actual Y values and the predicted values of Y.

The standard error of estimate is used to construct confidence intervals when the sample size is large and the scatter about the regression line is somewhat normally distributed.

What is another name for the regression or estimating equation? ______________________________

What do the coefficient of correlation and the slope of the regression line always have in common? __________________

Using the following information: What is the coefficient of determination?

Pearson's product-moment correlation coefficient,r,requires that the data be interval or ratio scaled,such as incomes and weights.

What can we conclude if the coefficient of determination is 0.94?

The technique used to measure the strength of the relationship between two variables using the coefficient of correlation and the coefficient of determination is called regression analysis.

What principle is applied when calculating the regression coefficients? _________________

If the coefficient of correlation is -0.50,the coefficient of determination is +0.25.

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