Exam 5: Pearson Correlation and Regression: Descriptive Aspects

The problem of ____________________ occurs when only a limited portion of the possible range of scores is used to calculate a correlation coefficient and a regression equation.

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Question 1

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restricted range

What is restricted range and how does it affect the correlation coefficient?

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Question 2

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Restricted range involves examining only a portion of the range of a variable.Depending on the particular circumstances,the magnitude of the correlation when a limited portion of this range is considered might be either lesser or greater than if the range had not been so restricted.

The criterion for deriving the values of the slope and intercept in a linear regression equation is formally known as the:

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Question 3

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Suppose you were interested in conducting a study examining how ratings of similarity between oneself and another person were related to how attracted one is to the other person.You conduct this study by giving participants a description of a person named "Sarah." Participants are asked to read the description and then rate on a scale from 1 to 10 how similar Sarah is to themselves.You also ask each participant to rate on a scale from 1 to 20 how likeable they think Sarah is. X = rating of similarity of target to oneself Y = rating of likability of the target ("Sarah") 62 people participate in your study,and you obtain the following data: = 6.00 SCP = 66 = 10.00 SS_X = 40 SS_Y = 136 Calculate the slope for the regression equation for the above data.

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Question 4

In the study of traditionalism and ideal family size,a correlation of .66 was found indicating a ______.

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Question 5

The statistical technique of _ can be used to identify a line that will fit the data points better than any other line,as determined by the _.

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Question 6

When two variables are not perfectly correlated,the statistical technique of regression can be used to identify a line that will fit the data points perfectly.

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Question 7

The value of a slope can be positive only.

(True/False)

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Question 8

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

(True/False)

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Question 9

A correlation of .50 always represents a large correlation.

(True/False)

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Question 10

The magnitude of the correlation when a limited portion of the range of a variable is considered will be _____ if the range had not been so restricted.

(Multiple Choice)

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Question 11

Refer to the following data set. Individual X Y 1 2 4 SCP = 80 2 4 8 SS_Y = 160 3 6 12 SS_X = 40 4 8 16 5 10 20 The standard error of estimate is _______.

(Multiple Choice)

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Question 12

When two variables (X and Y)are strongly correlated we can be reasonably sure that X causes Y.

(True/False)

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Question 13

When a linear relationship is negative,

(Multiple Choice)

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Question 14

Which of the following r values indicates the weakest relationship between two variables?

(Multiple Choice)

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Question 15

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

(True/False)

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Question 16

In the case of a negative relationship,as scores on X _,scores on Y _.

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Question 17

The correlation coefficient can range from -1.00 to 0 to +1.00.

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Question 18

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

(Multiple Choice)

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Question 19

An outlier may influence the _____ of a correlation coefficient.

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Question 20

Showing 1 - 20 of 152

The problem of ____________________ occurs when only a limited portion of the possible range of scores is used to calculate a correlation coefficient and a regression equation.

What is restricted range and how does it affect the correlation coefficient?

The criterion for deriving the values of the slope and intercept in a linear regression equation is formally known as the:

In the study of traditionalism and ideal family size,a correlation of .66 was found indicating a ______.

The statistical technique of _ can be used to identify a line that will fit the data points better than any other line,as determined by the _.

When two variables are not perfectly correlated,the statistical technique of regression can be used to identify a line that will fit the data points perfectly.

The value of a slope can be positive only.

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

A correlation of .50 always represents a large correlation.

The magnitude of the correlation when a limited portion of the range of a variable is considered will be _____ if the range had not been so restricted.

Refer to the following data set. Individual X Y 1 2 4 SCP = 80 2 4 8 SS_Y = 160 3 6 12 SS_X = 40 4 8 16 5 10 20 The standard error of estimate is _______.

When two variables (X and Y)are strongly correlated we can be reasonably sure that X causes Y.

When a linear relationship is negative,

Which of the following r values indicates the weakest relationship between two variables?

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

In the case of a negative relationship,as scores on X _,scores on Y _.

The correlation coefficient can range from -1.00 to 0 to +1.00.

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

An outlier may influence the _____ of a correlation coefficient.

Introduction and Mathematical Preliminaries

Frequency and Probability Distributions

Percentiles percentile Ranks standard Scores and the Normal Distribution

Measures of Central Tendency and Variability

Estimation and Sampling Distributions

Hypothesis Testing: Inferences About a Single Mean

Probability

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

The problem of ____________________ occurs when only a limited portion of the possible range of scores is used to calculate a correlation coefficient and a regression equation.

What is restricted range and how does it affect the correlation coefficient?

The criterion for deriving the values of the slope and intercept in a linear regression equation is formally known as the:

In the study of traditionalism and ideal family size,a correlation of .66 was found indicating a ______.

The statistical technique of _____ can be used to identify a line that will fit the data points better than any other line,as determined by the _____.

When two variables are not perfectly correlated,the statistical technique of regression can be used to identify a line that will fit the data points perfectly.

The value of a slope can be positive only.

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

A correlation of .50 always represents a large correlation.

The magnitude of the correlation when a limited portion of the range of a variable is considered will be _____ if the range had not been so restricted.

Refer to the following data set. Individual X Y 1 2 4 SCP = 80 2 4 8 SSY = 160 3 6 12 SSX = 40 4 8 16 5 10 20 The standard error of estimate is _______.

When two variables (X and Y)are strongly correlated we can be reasonably sure that X causes Y.

When a linear relationship is negative,

Which of the following r values indicates the weakest relationship between two variables?

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

In the case of a negative relationship,as scores on X _____,scores on Y _____.

The correlation coefficient can range from -1.00 to 0 to +1.00.

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

An outlier may influence the _____ of a correlation coefficient.

Introduction and Mathematical Preliminaries

Frequency and Probability Distributions

Percentiles percentile Ranks standard Scores and the Normal Distribution

Measures of Central Tendency and Variability

Estimation and Sampling Distributions

Hypothesis Testing: Inferences About a Single Mean

Probability

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

The statistical technique of _ can be used to identify a line that will fit the data points better than any other line,as determined by the _.

Refer to the following data set. Individual X Y 1 2 4 SCP = 80 2 4 8 SS_Y = 160 3 6 12 SS_X = 40 4 8 16 5 10 20 The standard error of estimate is _______.

In the case of a negative relationship,as scores on X _,scores on Y _.