Question 1

Assume the least squares equation is Ŷ = 10 + 20X. What does the value of 10 in the equation indicate?

Accepted Answer

A) When X = 0, Y = 10. 
B) X increases by 10 for each unit increase in Y. 
C) Y increases by 10, for each unit increase in X. 
D) It is the error of estimation. 
A) When X = 0, Y = 10. 
B) X increases by 10 for each unit increase in Y. 
C) Y increases by 10, for each unit increase in X. 
D) It is the error of estimation.

Question 2

Using the following regression analysis:   What is the residual sum of squares?

Accepted Answer

The answer of Using the following regression analysis:  ...

Question 3

If all the plots on a scatter diagram lie on a straight line, what is the standard error of estimate?

Accepted Answer

A) -1 
B) +1 
C) 0 
D) Infinity 
A) -1 
B) +1 
C) 0 
D) Infinity

Question 4

In the equation, Ŷ = a + bX, what is Ŷ?

Accepted Answer

A) It is the slope of the line. 
B) It is the Y intercept. 
C) It is the predicted value of Y, given a specific X value. 
D) It is the value of Y when X = 0. 
A) It is the slope of the line. 
B) It is the Y intercept. 
C) It is the predicted value of Y, given a specific X value. 
D) It is the value of Y when X = 0.

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) Measure cause and effect 
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) Measure cause and effect

Question 6

In the regression equation, what does the letter "Y" represent?

Accepted Answer

A) The Y-intercept 
B) The slope of the line 
C) The independent variable 
D) The dependent variable 
A) The Y-intercept 
B) The slope of the line 
C) The independent variable 
D) The dependent variable

Question 7

The coefficient of determination is the square root of the coefficient of correlation.

Accepted Answer

A) True 
 B)False

Question 8

What is the chart called when the paired data (the dependent and independent variables) are plotted?

Accepted Answer

A) A scatter diagram 
B) A bar chart 
C) A pie chart 
D) A histogram 
A) A scatter diagram 
B) A bar chart 
C) A pie chart 
D) A histogram

Question 9

If the coefficient of correlation is -0.81, the coefficient of determination is ______.

Accepted Answer

The answer of If the coefficient of correlation is -0.81,...

Question 10

The regression equation is Ŷ = 29.29 - 0.96X, the sample size is 8, and the standard error of the slope is 0.22. What is the test-statistic to test the significance of the slope?

Accepted Answer

A) z = -4.364 
B) z = +4.364 
C) t = -4.364 
D) t = -0.960 
A) z = -4.364 
B) z = +4.364 
C) t = -4.364 
D) t = -0.960

Assume the least squares equation is Ŷ = 10 + 20X. What does the value of 10 in the equation indicate?

Using the following regression analysis: What is the residual sum of squares?

If all the plots on a scatter diagram lie on a straight line, what is the standard error of estimate?

In the equation, Ŷ = a + bX, what is Ŷ?

Based on the regression equation, we can _______________.

In the regression equation, what does the letter "Y" represent?

The coefficient of determination is the square root of the coefficient of correlation.

What is the chart called when the paired data (the dependent and independent variables) are plotted?

If the coefficient of correlation is -0.81, the coefficient of determination is ______.

The regression equation is Ŷ = 29.29 - 0.96X, the sample size is 8, and the standard error of the slope is 0.22. What is the test-statistic to test the significance of the slope?

What Is Statistics

Describing Data: Frequency Tables, Frequency Distributions, and Graphic Presentation

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 Analysis

Nonparametric Methods: Goodness-Of-Fit Tests

Filters

Exam 13: Correlation and Linear Regression

Assume the least squares equation is Ŷ = 10 + 20X. What does the value of 10 in the equation indicate?

Using the following regression analysis: What is the residual sum of squares?

If all the plots on a scatter diagram lie on a straight line, what is the standard error of estimate?

In the equation, Ŷ = a + bX, what is Ŷ?

Based on the regression equation, we can _______________.

In the regression equation, what does the letter "Y" represent?

The coefficient of determination is the square root of the coefficient of correlation.

What is the chart called when the paired data (the dependent and independent variables) are plotted?

If the coefficient of correlation is -0.81, the coefficient of determination is ______.

The regression equation is Ŷ = 29.29 - 0.96X, the sample size is 8, and the standard error of the slope is 0.22. What is the test-statistic to test the significance of the slope?

What Is Statistics

Describing Data: Frequency Tables, Frequency Distributions, and Graphic Presentation

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 Analysis

Nonparametric Methods: Goodness-Of-Fit Tests

Filters