Question 1

A strong negative correlation will lead to a large positive coefficient of determination

Accepted Answer

A) True 
 B)False

Question 2

Do high school grades predict college academic success? Below are data collected from some recent college graduates.
 $$\begin{array} { c c } 
\hline\text { high school GPA } & \begin{array} { c } 
\text { College } \
\text { GPA }
\end{array} \
\hline 3.4 & 3.2 \
2.8 & 3.6 \
2.9 & 3.1 \
3.1 & 3.4 \
3.6 & 3.6 \
3.8 & 3.5 \
3.4 & 2.9 \
3.6 & 3.3 \
3.3 & 3.8 \
3.3 & 3.5 \
3.1 & 3 \
3 & 3.1 \
3.6 & 3.7 \
3.7 & 3.9 \
2.6 & 3.1 \
2.2 & 3.2 \
2.8 & 2.7 \
3.1 & 3.5 \
3 & 3 \
\hline
\end{array}$$ What is the coefficient of determination?

Accepted Answer

The answer of Do high school grades predict college academic...

Question 3

A correlation of .04 and -.04 will have the same coefficient of determination.

Accepted Answer

A) True 
 B)False

Question 4

In a regression analysis, b refers to

Accepted Answer

A)  the y-axis intercept 
B)  the slope of the regression line 
C)  the predicted y value 
D)  the residuals 
A)  the y-axis intercept 
B)  the slope of the regression line 
C)  the predicted y value 
D)  the residuals

Question 5

The regression coefficient is negatively correlated with the correlation coefficient of the same two variables

Accepted Answer

A) True 
 B)False

Question 6

A least squares regression line minimizes the distance from each datum in the dataset to it.

Accepted Answer

A) True 
 B)False

Question 7

The theoretical correlation of the population between two variables is denoted by…

Accepted Answer

A)  r2 
B)  r 
C)  ρ 
D)  b 
A)  r2 
B)  r 
C)  ρ 
D)  b

Question 8

Smaller coefficients of determination means that the two variables have a weaker relationship

Accepted Answer

A) True 
 B)False

Question 9

Which one of the following variables cannot be dichotomized?

Accepted Answer

A)  age of participant 
B)  reaction time in milliseconds 
C)  favorite type of soda 
D)  Number of coffees consumed per day 
A)  age of participant 
B)  reaction time in milliseconds 
C)  favorite type of soda 
D)  Number of coffees consumed per day

Question 10

A quadratic relationship differs from a linear relationship in that…

Accepted Answer

A)  the line for a linear relationship changes direction once, but for quadratic relationships the line changes direction twice. 
B)  The two types of relationships have lines that change directions different amounts of times. But both should be analyzed by a Pearson correlation. 
C)  The line for a linear relationship never changes direction, but for quadratic relationships the line changes direction once. 
D)  None of the above. 
A)  the line for a linear relationship changes direction once, but for quadratic relationships the line changes direction twice. 
B)  The two types of relationships have lines that change directions different amounts of times. But both should be analyzed by a Pearson correlation. 
C)  The line for a linear relationship never changes direction, but for quadratic relationships the line changes direction once. 
D)  None of the above.

Question 11

A researcher is examining whether the amount of time newborns can sleep without being disturbed is related to parental stress. The researcher asked 30 parents to report the longest amount of time in number of minutes their newborn child has been able to sleep without waking up. Then the parents were asked to rate their stress levels.
The researcher find a correlation of -.56. What does this mean?

Accepted Answer

A)  the result is significant. The data suggest that parents who are more stressed have newborns that can sleep longer. 
B)  The result is significant. The data suggests that parents who are more stressed have newborns that sleep for shorter time. 
C)  The result is not significant. There is no evidence from this sample that suggests that parental stress and newborn sleep duration are related. 
D)  The result is significant. Parental stress causes newborns to sleep less. 
A)  the result is significant. The data suggest that parents who are more stressed have newborns that can sleep longer. 
B)  The result is significant. The data suggests that parents who are more stressed have newborns that sleep for shorter time. 
C)  The result is not significant. There is no evidence from this sample that suggests that parental stress and newborn sleep duration are related. 
D)  The result is significant. Parental stress causes newborns to sleep less.

Question 12

Do high school grades predict college academic success? Below are data collected from some recent college graduates.
 $$\begin{array} { c c } 
\hline\text { high school GPA } & \begin{array} { c } 
\text { College } \
\text { GPA }
\end{array} \
\hline 3.4 & 3.2 \
2.8 & 3.6 \
2.9 & 3.1 \
3.1 & 3.4 \
3.6 & 3.6 \
3.8 & 3.5 \
3.4 & 2.9 \
3.6 & 3.3 \
3.3 & 3.8 \
3.3 & 3.5 \
3.1 & 3 \
3 & 3.1 \
3.6 & 3.7 \
3.7 & 3.9 \
2.6 & 3.1 \
2.2 & 3.2 \
2.8 & 2.7 \
3.1 & 3.5 \
3 & 3 \
\hline
\end{array}$$ is the test significant at the alpha = .05 leve? What about the .01 level?

Accepted Answer

Yes, the result is s

Question 13

Is a person's degree of extraversion a predictor of romantic partners? Below are normed data on individuals' degree of extraversion and the number of partners they've had.
 $$\begin{array} { c c } 
\hline \text { Extraversion } & \text { Partners } \
\hline 1.2 & 4 \
1.1 & 3 \
- 0.4 & 2 \
0.5 & 6 \
0.2 & 5 \
0.1 & 3 \
0 & 1 \
- 0.8 & 7 \
- 0.2 & 5 \
- 0.1 & 4 \
- 0.4 & 2 \
0.6 & 8 \
0.2 & 6 \
- 0.1 & 3 \
0.8 & 4 \
- 1 & 5 \
0.9 & 1 \
\hline
\end{array}$$ How many degrees of freedom are there in this test?

Accepted Answer

The answer of Is a person's degree of extraversion a...

Question 14

in a positive correlation, as the value of X increases, the value of Y also increases

Accepted Answer

A) True 
 B)False

Question 15

If you have a correlation coefficient of r = -.60, then your coefficient of determination should be…

Accepted Answer

A)  1.20 
B)  -.36 
C)  .36 
D)  -.30 
A)  1.20 
B)  -.36 
C)  .36 
D)  -.30

Question 16

The Pearson correlation can be applied to linear relationships as well as curvilinear relationships

Accepted Answer

A) True 
 B)False

Question 17

The strength of a correlation depends on whether it's positive or negative

Accepted Answer

A) True 
 B)False

Question 18

A correlation coefficient is bounded between which two values?

Accepted Answer

A)  0.00 and 1.00 
B)  -1.00 and 1.00 
C)  There are no numeric boundaries. Correlations can go from weak to strong. 
D)  -100 and 100 
A)  0.00 and 1.00 
B)  -1.00 and 1.00 
C)  There are no numeric boundaries. Correlations can go from weak to strong. 
D)  -100 and 100

Question 19

When testing a correlation between 2 variables with 20 pairs of data, the degrees of freedom is 19

Accepted Answer

A) True 
 B)False

A strong negative correlation will lead to a large positive coefficient of determination

A correlation of .04 and -.04 will have the same coefficient of determination.

In a regression analysis, b refers to

The regression coefficient is negatively correlated with the correlation coefficient of the same two variables

A least squares regression line minimizes the distance from each datum in the dataset to it.

The theoretical correlation of the population between two variables is denoted by…

Smaller coefficients of determination means that the two variables have a weaker relationship

Which one of the following variables cannot be dichotomized?

A quadratic relationship differs from a linear relationship in that…

in a positive correlation, as the value of X increases, the value of Y also increases

If you have a correlation coefficient of r = -.60, then your coefficient of determination should be…

The Pearson correlation can be applied to linear relationships as well as curvilinear relationships

The strength of a correlation depends on whether it's positive or negative

A correlation coefficient is bounded between which two values?

When testing a correlation between 2 variables with 20 pairs of data, the degrees of freedom is 19

Introduction: Statistics--Who Needs Them

Types of Data

A Picture Is Worth a Thousand Words: Creating and Interpreting Graphics

Measures of Central Tendency: Whats so Average About the Mean

Variability: the Law of Life

Where Am I Normal Distributions and Standard Scores

Basic Probability Theory

The Central Limit Theorem and Hypothesis Testing

The Z-Test

The T-Test

Analysis of Variance

Confidence Intervals and Effect Size: Building a Better Mousetrap

The Chi-Square Test

Non-Parametric Tests

Which Test Should I Use and Why

Filters

Exam 13: Correlation and Regression: Are We Related

A strong negative correlation will lead to a large positive coefficient of determination

A correlation of .04 and -.04 will have the same coefficient of determination.

In a regression analysis, b refers to

The regression coefficient is negatively correlated with the correlation coefficient of the same two variables

A least squares regression line minimizes the distance from each datum in the dataset to it.

The theoretical correlation of the population between two variables is denoted by…

Smaller coefficients of determination means that the two variables have a weaker relationship

Which one of the following variables cannot be dichotomized?

A quadratic relationship differs from a linear relationship in that…

in a positive correlation, as the value of X increases, the value of Y also increases

If you have a correlation coefficient of r = -.60, then your coefficient of determination should be…

The Pearson correlation can be applied to linear relationships as well as curvilinear relationships

The strength of a correlation depends on whether it's positive or negative

A correlation coefficient is bounded between which two values?

When testing a correlation between 2 variables with 20 pairs of data, the degrees of freedom is 19

Introduction: Statistics--Who Needs Them

Types of Data

A Picture Is Worth a Thousand Words: Creating and Interpreting Graphics

Measures of Central Tendency: Whats so Average About the Mean

Variability: the Law of Life

Where Am I Normal Distributions and Standard Scores

Basic Probability Theory

The Central Limit Theorem and Hypothesis Testing

The Z-Test

The T-Test

Analysis of Variance

Confidence Intervals and Effect Size: Building a Better Mousetrap

The Chi-Square Test

Non-Parametric Tests

Which Test Should I Use and Why

Filters