Question 1

What are the statistical and conceptual implications of designating one variable as the X variable and one variable as the Y variable?

Accepted Answer

From a statistical perspective,the desig

Question 2

The correlation of any variable with itself is always ____________________.

Accepted Answer

The answer of The correlation of any variable with itself...

Question 3

Outliers are most likely to raise interpretational complexities when sample sizes are small.

Accepted Answer

A) True 
 B)False

Question 4

The slope of a line tells you ______.

Accepted Answer

A) the change in Y for every 1-unit change in X 
B) the change X for every 1-unit change in Y 
C) the predicted value of Y when X equals zero 
D) the average amount of error when predicting Y from X 
A) the change in Y for every 1-unit change in X 
B) the change X for every 1-unit change in Y 
C) the predicted value of Y when X equals zero 
D) the average amount of error when predicting Y from X

Question 5

Correlations for the types of variables studied any behavioral scientists will seldom exceed _____ and will often be considerably smaller.

Accepted Answer

A) -.80 or +.80 
B) -.40 or +.40 
C) -.10 or +.10 
D) -.05 or +.05 
A) -.80 or +.80 
B) -.40 or +.40 
C) -.10 or +.10 
D) -.05 or +.05

Question 6

The fact that two variables are correlated necessarily implies that one variable causes the other to vary as it does.

Accepted Answer

A) True 
 B)False

Question 7

The _____ of a line indicates the number of units variable Y changes as variable X changes by 1 unit.

Accepted Answer

A) slope 
B) intercept 
C) scatterplot 
D) residual 
A) slope 
B) intercept 
C) scatterplot 
D) residual

Question 8

A correlation coefficient of _____ means the two variables form a perfect linear relationship.

Accepted Answer

A) +1.00 
B) -1.00 
C) 0 
D) a and b 
A) +1.00 
B) -1.00 
C) 0 
D) a and b

Question 9

Which of the following correlation values represents the strongest relationship?

Accepted Answer

A) .20 
B) 60 
C) -.70 
D) .09 
A) .20 
B) 60 
C) -.70 
D) .09

Question 10

The magnitude of a correlation coefficient is determined by examining the absolute of the correlation coefficient.

Accepted Answer

A) True 
 B)False

Question 11

Refer to the following data set.  
What is the intercept of the regression line?

Accepted Answer

A) 3.5 
B) 5.5 
C) .8 
D) -.80 
A) 3.5 
B) 5.5 
C) .8 
D) -.80

Question 12

The regression equation for predicting X from Y _____ as the regression equation for predicting Y from X.

Accepted Answer

A) is not the same 
B) is exactly the same 
C) gives the same results 
D) b and c 
A) is not the same 
B) is exactly the same 
C) gives the same results 
D) b and c

Question 13

The Pearson correlation coefficient (r)provides information about the ______.

Accepted Answer

A) degree of a linear relationship between two variables 
B) magnitude of the difference between two group means 
C) curvilinear effects of a predictor variable on a criterion variable 
D) degree of range restriction in your data 
A) degree of a linear relationship between two variables 
B) magnitude of the difference between two group means 
C) curvilinear effects of a predictor variable on a criterion variable 
D) degree of range restriction in your data

Question 14

Correlation and regression both can help researchers to

Accepted Answer

A) understand how one variable is causally related to a second 
B) describe a linear relationship between two variables 
C) describe data for a single variable 
D) understand the distribution for scores on one variable 
A) understand how one variable is causally related to a second 
B) describe a linear relationship between two variables 
C) describe data for a single variable 
D) understand the distribution for scores on one variable

Question 15

Which of the following correlation scores represents the weakest relationship?

Accepted Answer

A) .40 
B) .60 
C) -.80 
D) .09 
A) .40 
B) .60 
C) -.80 
D) .09

Question 16

The Pearson correlation coefficient can range from _____.

Accepted Answer

A) 0.0 to + 1.00 
B) 1.00 to 100.00 
C) -1.00 to 1.00 
D) 0.0 to 8 
A) 0.0 to + 1.00 
B) 1.00 to 100.00 
C) -1.00 to 1.00 
D) 0.0 to 8

Question 17

The general form of the linear model is _____.

Accepted Answer

A) Y = bX + aX 
B) Y = a + bX 
C) Y = b + a + X 
D) Y = a + bX2 
A) Y = bX + aX 
B) Y = a + bX 
C) Y = b + a + X 
D) Y = a + bX2

Question 18

Refer to the following data set.  
What is the sum of cross-products?

Accepted Answer

A) 9 
B) 86 
C) -222 
D) 47.5 
A) 9 
B) 86 
C) -222 
D) 47.5

Question 19

What does the slope of a line refer to?

Accepted Answer

The slope of a line indicates

Question 20

What are the consequences of using the correlation coefficient to assess a curvilinear relationship between two variables?

Accepted Answer

Two variables might be related,but if th

What are the statistical and conceptual implications of designating one variable as the X variable and one variable as the Y variable?

The correlation of any variable with itself is always ____________________.

Outliers are most likely to raise interpretational complexities when sample sizes are small.

The slope of a line tells you ______.

Correlations for the types of variables studied any behavioral scientists will seldom exceed _____ and will often be considerably smaller.

The fact that two variables are correlated necessarily implies that one variable causes the other to vary as it does.

The _____ of a line indicates the number of units variable Y changes as variable X changes by 1 unit.

A correlation coefficient of _____ means the two variables form a perfect linear relationship.

Which of the following correlation values represents the strongest relationship?

The magnitude of a correlation coefficient is determined by examining the absolute of the correlation coefficient.

Refer to the following data set. What is the intercept of the regression line?

The regression equation for predicting X from Y _____ as the regression equation for predicting Y from X.

The Pearson correlation coefficient (r)provides information about the ______.

Correlation and regression both can help researchers to

Which of the following correlation scores represents the weakest relationship?

The Pearson correlation coefficient can range from _____.

The general form of the linear model is _____.

Refer to the following data set. What is the sum of cross-products?

What does the slope of a line refer to?

What are the consequences of using the correlation coefficient to assess a curvilinear relationship between two variables?

Introduction and Mathematical Preliminaries

Frequency and Probability Distributions

Measures of Central Tendency and Variability

Percentiles,percentile Ranks,standard Scores,and the Normal Distribution

Probability

Estimation and Sampling Distributions

Hypothesis Testing: Inferences About a Single Mean

Principles of Research Design and Statistical Preliminaries for Analyzing Bivariate Relationships

Independent Groups T-Test

Correlated Groups T-Test

One-Way Repeated Measures Analysis of Variance

Pearson Correlation and Regression: Inferential Aspects

Chi-Square Test

Nonparametric Statistics

Two-Way Between-Subjects Analysis of Variance

Overview and Extension: Statistical Tests for More Complex Designs

Filters

Exam 5: Pearson Correlation and Regression: Descriptive Aspects

What are the statistical and conceptual implications of designating one variable as the X variable and one variable as the Y variable?

The correlation of any variable with itself is always ____________________.

Outliers are most likely to raise interpretational complexities when sample sizes are small.

The slope of a line tells you ______.

Correlations for the types of variables studied any behavioral scientists will seldom exceed _____ and will often be considerably smaller.

The fact that two variables are correlated necessarily implies that one variable causes the other to vary as it does.

The _____ of a line indicates the number of units variable Y changes as variable X changes by 1 unit.

A correlation coefficient of _____ means the two variables form a perfect linear relationship.

Which of the following correlation values represents the strongest relationship?

The magnitude of a correlation coefficient is determined by examining the absolute of the correlation coefficient.

Refer to the following data set. What is the intercept of the regression line?

The regression equation for predicting X from Y _____ as the regression equation for predicting Y from X.

The Pearson correlation coefficient (r)provides information about the ______.

Correlation and regression both can help researchers to

Which of the following correlation scores represents the weakest relationship?

The Pearson correlation coefficient can range from _____.

The general form of the linear model is _____.

Refer to the following data set. What is the sum of cross-products?

What does the slope of a line refer to?

What are the consequences of using the correlation coefficient to assess a curvilinear relationship between two variables?

Introduction and Mathematical Preliminaries

Frequency and Probability Distributions

Measures of Central Tendency and Variability

Percentiles,percentile Ranks,standard Scores,and the Normal Distribution

Probability

Estimation and Sampling Distributions

Hypothesis Testing: Inferences About a Single Mean

Principles of Research Design and Statistical Preliminaries for Analyzing Bivariate Relationships

Independent Groups T-Test

Correlated Groups T-Test

One-Way Repeated Measures Analysis of Variance

Pearson Correlation and Regression: Inferential Aspects

Chi-Square Test

Nonparametric Statistics

Two-Way Between-Subjects Analysis of Variance

Overview and Extension: Statistical Tests for More Complex Designs

Filters