Question 1

The y-intercept is where the regression line crosses the y-axis.

Accepted Answer

A) True 
 B)False  True

Question 2

The slope indicates ______.

Accepted Answer

A)  the change in y associated with a one-unit change in x 
B)  the change in x associated with a one-unit change in y 
C)  how many units away from the mean of y x is 
D)  how many units away from the mean of x y is 
A)  the change in y associated with a one-unit change in x 
B)  the change in x associated with a one-unit change in y 
C)  how many units away from the mean of y x is 
D)  how many units away from the mean of x y is A

Question 3

If a researcher obtains an r of .35, what would be the correct interpretation of r2?

Accepted Answer

A)  35% of the variation is explained 
B)  45% of the variation is explained 
C)  12% of the variation is explained 
D)  80% of the variation is explained 
A)  35% of the variation is explained 
B)  45% of the variation is explained 
C)  12% of the variation is explained 
D)  80% of the variation is explained C

Question 4

After collecting data on age and number of speeding tickets, the researcher found that older people are less likely to have speeding tickets. What type of relationship is this between the two variables?

Accepted Answer

A)  positive 
B)  linear 
C)  negative 
D)  nonlinear 
A)  positive 
B)  linear 
C)  negative 
D)  nonlinear

Question 5

Error in predicting the dependent variable is the ______.

Accepted Answer

A)  type II error 
B)  type I error 
C)  residual 
D)  coefficient 
A)  type II error 
B)  type I error 
C)  residual 
D)  coefficient

Question 6

Both the regression slope coefficient and correlation coefficient are standardized and therefore its magnitudes do not depend on the measurement of the variables.

Accepted Answer

A) True 
 B)False

Question 7

The straight line that comes the closest to going through each conditional mean of y is the ______.

Accepted Answer

A)  coefficient of determination 
B)  correlation coefficient 
C)  closest fitting line 
D)  best fitting line 
A)  coefficient of determination 
B)  correlation coefficient 
C)  closest fitting line 
D)  best fitting line

Question 8

A graphical display of the strength of the relationship between two interval/ratio level variables is a ______.

Accepted Answer

A)  histogram 
B)  box plot 
C)  scatterplot 
D)  pie chart 
A)  histogram 
B)  box plot 
C)  scatterplot 
D)  pie chart

Question 9

The estimation procedure ordinary least-squares (OLS) relies on is ______.

Accepted Answer

A)  the squared deviations from the mean 
B)  raw deviations from the mean 
C)  standardized deviation from the mean 
D)  nonlinear deviations from the mean 
A)  the squared deviations from the mean 
B)  raw deviations from the mean 
C)  standardized deviation from the mean 
D)  nonlinear deviations from the mean

Question 10

Which type of relationship between two variables does the Pearson correlation assume?

Accepted Answer

A)  linear 
B)  significant 
C)  skewed 
D)  nonlinear 
A)  linear 
B)  significant 
C)  skewed 
D)  nonlinear

Question 11

The closer the data points are to the estimated regression line, the more accurate the predicted y scores are and the smaller the residuals will be.

Accepted Answer

A) True 
 B)False

Question 12

A study found that the more elementary and junior high students are involved in structured after-school activities, the less likely they are to get involved with drugs. Which of the following correlations would reflect this relationship?

Accepted Answer

A)  r = 1.00 
B)  r = .75 
C)  r = -.40 
D)  r = .00 
A)  r = 1.00 
B)  r = .75 
C)  r = -.40 
D)  r = .00

Question 13

When the assumption of homoscedasticity is violated it means that ______.

Accepted Answer

A)  the error terms are constant across all values of x 
B)  the error terms are not constant across all values of x 
C)  the residuals are too large 
D)  the residuals do not vary enough across values of x 
A)  the error terms are constant across all values of x 
B)  the error terms are not constant across all values of x 
C)  the residuals are too large 
D)  the residuals do not vary enough across values of x

Question 14

In the regression equation β is the ______.

Accepted Answer

A)  variable score 
B)  regression coefficient 
C)  constant 
D)  degrees of freedom 
A)  variable score 
B)  regression coefficient 
C)  constant 
D)  degrees of freedom

Question 15

If one fit a line to their scatterplot and found that the line was flat, this would indicate what type of relationship?

Accepted Answer

A)  positive 
B)  linear 
C)  negative 
D)  no relationship 
A)  positive 
B)  linear 
C)  negative 
D)  no relationship

Question 16

The y-intercept is the value when ______.

Accepted Answer

A)  x is equal to its mean 
B)  x is equal to the mean of y 
C)  x is equal to 0 
D)  y is equal to 0 
A)  x is equal to its mean 
B)  x is equal to the mean of y 
C)  x is equal to 0 
D)  y is equal to 0

Question 17

A statistic that quantifies the relationship between two interval/ratio level variables is ______.

Accepted Answer

A)  Eta squared 
B)  Phi coefficient 
C)  Pearson correlation coefficient 
D)  Gamma 
A)  Eta squared 
B)  Phi coefficient 
C)  Pearson correlation coefficient 
D)  Gamma

Question 18

The coefficient of determination is the square of the correlation coefficient. This informs one as to the ______.

Accepted Answer

A)  critical value of the correlation 
B)  the proportion of the variation in dependent variable that is explained by the independent variable 
C)  the direction of the relationship 
D)  how strong the relationship is 
A)  critical value of the correlation 
B)  the proportion of the variation in dependent variable that is explained by the independent variable 
C)  the direction of the relationship 
D)  how strong the relationship is

Question 19

When outliers are included in the regression analysis, what is a likely outcome for the data?

Accepted Answer

A)  The slope and correlation coefficients are not inflated. 
B)  The slope and correlation coefficients will remain unchanged. 
C)  The slope and correlation coefficients will be excessively influenced. 
D)  Only the slope coefficient will be excessively influenced while the correlation coefficient will not be influenced. 
A)  The slope and correlation coefficients are not inflated. 
B)  The slope and correlation coefficients will remain unchanged. 
C)  The slope and correlation coefficients will be excessively influenced. 
D)  Only the slope coefficient will be excessively influenced while the correlation coefficient will not be influenced.

Question 20

What are the 5 assumptions for testing hypotheses of and . Describe each assumption.

Accepted Answer

The 5 assumptions will not vary but the

The y-intercept is where the regression line crosses the y-axis.

The slope indicates ______.

If a researcher obtains an r of .35, what would be the correct interpretation of r²?

After collecting data on age and number of speeding tickets, the researcher found that older people are less likely to have speeding tickets. What type of relationship is this between the two variables?

Error in predicting the dependent variable is the ______.

Both the regression slope coefficient and correlation coefficient are standardized and therefore its magnitudes do not depend on the measurement of the variables.

The straight line that comes the closest to going through each conditional mean of y is the ______.

A graphical display of the strength of the relationship between two interval/ratio level variables is a ______.

The estimation procedure ordinary least-squares (OLS) relies on is ______.

Which type of relationship between two variables does the Pearson correlation assume?

The closer the data points are to the estimated regression line, the more accurate the predicted y scores are and the smaller the residuals will be.

A study found that the more elementary and junior high students are involved in structured after-school activities, the less likely they are to get involved with drugs. Which of the following correlations would reflect this relationship?

When the assumption of homoscedasticity is violated it means that ______.

In the regression equation β is the ______.

If one fit a line to their scatterplot and found that the line was flat, this would indicate what type of relationship?

The y-intercept is the value when ______.

A statistic that quantifies the relationship between two interval/ratio level variables is ______.

The coefficient of determination is the square of the correlation coefficient. This informs one as to the ______.

When outliers are included in the regression analysis, what is a likely outcome for the data?

What are the 5 assumptions for testing hypotheses of and . Describe each assumption.

The Importance of Statistics in the Criminological Sciences or Why Do I Have to Learn This Stuff

Levels of Measurement and Aggregation

Data Visualization Techniques: Ways of Understanding Data Distributions

Measures of Central Tendency

Measures of Dispersion

Probability, Probability Distributions, and an Introduction to Inferential Statistics

Point Estimation and Confidence Intervals

From Estimation to Statistical Tests: Hypothesis Testing for One Population Mean and Proportion

Testing Hypotheses With Categorical Data

Hypothesis Tests Involving Two Population Means or Proportions

Hypothesis Involving Three or More Population Means: Analysis of Variance

Controlling for a Third Variable: Multiple OlS Regression

Regression Analysis With a Dichotomous Dependent Variable: Logit Models

Filters

Exam 12: Bivariate Correlation and Regression

The y-intercept is where the regression line crosses the y-axis.

The slope indicates ______.

If a researcher obtains an r of .35, what would be the correct interpretation of r2?

After collecting data on age and number of speeding tickets, the researcher found that older people are less likely to have speeding tickets. What type of relationship is this between the two variables?

Error in predicting the dependent variable is the ______.

Both the regression slope coefficient and correlation coefficient are standardized and therefore its magnitudes do not depend on the measurement of the variables.

The straight line that comes the closest to going through each conditional mean of y is the ______.

A graphical display of the strength of the relationship between two interval/ratio level variables is a ______.

The estimation procedure ordinary least-squares (OLS) relies on is ______.

Which type of relationship between two variables does the Pearson correlation assume?

The closer the data points are to the estimated regression line, the more accurate the predicted y scores are and the smaller the residuals will be.

A study found that the more elementary and junior high students are involved in structured after-school activities, the less likely they are to get involved with drugs. Which of the following correlations would reflect this relationship?

When the assumption of homoscedasticity is violated it means that ______.

In the regression equation β is the ______.

If one fit a line to their scatterplot and found that the line was flat, this would indicate what type of relationship?

The y-intercept is the value when ______.

A statistic that quantifies the relationship between two interval/ratio level variables is ______.

The coefficient of determination is the square of the correlation coefficient. This informs one as to the ______.

When outliers are included in the regression analysis, what is a likely outcome for the data?

What are the 5 assumptions for testing hypotheses of and . Describe each assumption.

The Importance of Statistics in the Criminological Sciences or Why Do I Have to Learn This Stuff

Levels of Measurement and Aggregation

Data Visualization Techniques: Ways of Understanding Data Distributions

Measures of Central Tendency

Measures of Dispersion

Probability, Probability Distributions, and an Introduction to Inferential Statistics

Point Estimation and Confidence Intervals

From Estimation to Statistical Tests: Hypothesis Testing for One Population Mean and Proportion

Testing Hypotheses With Categorical Data

Hypothesis Tests Involving Two Population Means or Proportions

Hypothesis Involving Three or More Population Means: Analysis of Variance

Controlling for a Third Variable: Multiple OlS Regression

Regression Analysis With a Dichotomous Dependent Variable: Logit Models

Filters

If a researcher obtains an r of .35, what would be the correct interpretation of r²?