Exam 14: Pearson Correlation and Regression: Inferential Aspects

We can test the null hypothesis that ñ = 0 by transforming the sample correlation coefficient into a statistic that has a sampling distribution that closely approximates the F distribution with k - 1 degrees of freedom.

(True/False)

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Question 101

If the degrees of freedom of the Pearson correlation is 0,how many pairs of scores are there?

(Multiple Choice)

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Question 102

The mean of a sampling distribution of the correlation coefficient is approximately ñ,the true population coefficient.

(True/False)

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Question 103

How is the nature of the relationship between two variables evaluated in a correlational analysis?

(Essay)

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Question 104

Suppose a school psychologist found a correlation between SAT scores of students who graduated from her school and their GPAs at the end of the first year in college.The correlation,r = .82,was based on a sample of 55 students whose SAT scores ranged from 450 to 550.The next year,one for her students made a 625 on the SAT and she wants to predict that students future GPA.Which of the following statements is true?

(Multiple Choice)

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Question 105

The sample statistic,b,is a biased estimate of â.

(True/False)

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Question 106

Which of the following values represents the strongest correlation between variables?

(Multiple Choice)

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Question 107

When the population correlation coefficient is greater than 0,the sampling distribution is ______.

(Multiple Choice)

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Question 108

The sampling distribution of the population correlation coefficient is ____ when the population coefficient is equal to 0.

(Multiple Choice)

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Question 109

The population value of the standard error of stimate can be estimated from ample data by substituting the degrees of freedom of ____________________ in the denominator.

(Short Answer)

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Question 110

The use of the slope as an index of effect size only makes sense when the correlation between Y and X is relatively low.

(True/False)

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Question 111

A relationship between two variables might exist in a sample even though it does not exist in the population.

(True/False)

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Question 112

The traditional null hypothesis tested using the Pearson correlation is _____.

(Multiple Choice)

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Question 113

In regression,the variable from which predictions are made is formally known as the ____________________.

(Short Answer)

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Question 114

The _____ of the estimated standard error of estimate provides a measure of the amount of predictive error that occurs.

(Multiple Choice)

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Question 115

What does the estimated standard error of the estimate represent?

(Multiple Choice)

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Question 116

In Pearson correlation,the alternative hypothesis states that r ___ 0.

(Short Answer)

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Question 117

Imagine you are interested in researching the relationship between job experience and income among early-career working professionals.You take a random sample of 32 professionals from the nearest city,and you ask them to report their annual income and submit a resumé outlining their professional experience.You later calculate their years of experience from their resumés.You compute the following information: If you were to calculate a 95% confidence interval for this correlation coefficient,you would find that it ranges from .11 to .70.How should this interval be interpreted?

(Multiple Choice)

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Question 118

What is the technical term/phrase that is used to describe the problem in the previous question?

(Multiple Choice)

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Question 119

The values of _ are estimates of _,respectively.

(Multiple Choice)

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Question 120

Showing 101 - 120 of 143

We can test the null hypothesis that ñ = 0 by transforming the sample correlation coefficient into a statistic that has a sampling distribution that closely approximates the F distribution with k - 1 degrees of freedom.

If the degrees of freedom of the Pearson correlation is 0,how many pairs of scores are there?

The mean of a sampling distribution of the correlation coefficient is approximately ñ,the true population coefficient.

How is the nature of the relationship between two variables evaluated in a correlational analysis?

The sample statistic,b,is a biased estimate of â.

Which of the following values represents the strongest correlation between variables?

When the population correlation coefficient is greater than 0,the sampling distribution is ______.

The sampling distribution of the population correlation coefficient is ____ when the population coefficient is equal to 0.

The population value of the standard error of stimate can be estimated from ample data by substituting the degrees of freedom of ____________________ in the denominator.

The use of the slope as an index of effect size only makes sense when the correlation between Y and X is relatively low.

A relationship between two variables might exist in a sample even though it does not exist in the population.

The traditional null hypothesis tested using the Pearson correlation is _____.

In regression,the variable from which predictions are made is formally known as the ____________________.

The _____ of the estimated standard error of estimate provides a measure of the amount of predictive error that occurs.

What does the estimated standard error of the estimate represent?

In Pearson correlation,the alternative hypothesis states that r ___ 0.

What is the technical term/phrase that is used to describe the problem in the previous question?

The values of _ are estimates of _,respectively.

Introduction and Mathematical Preliminaries

Frequency and Probability Distributions

Percentiles percentile Ranks standard Scores and the Normal Distribution

Pearson Correlation and Regression: Descriptive Aspects

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

Chi-Square Test

Nonparametric Statistics

Two-Way Between-Subjects Analysis of Variance

Overview and Extension: Statistical Tests for More Complex Designs

Filters

Exam 14: Pearson Correlation and Regression: Inferential Aspects

We can test the null hypothesis that ñ = 0 by transforming the sample correlation coefficient into a statistic that has a sampling distribution that closely approximates the F distribution with k - 1 degrees of freedom.

If the degrees of freedom of the Pearson correlation is 0,how many pairs of scores are there?

The mean of a sampling distribution of the correlation coefficient is approximately ñ,the true population coefficient.

How is the nature of the relationship between two variables evaluated in a correlational analysis?

The sample statistic,b,is a biased estimate of â.

Which of the following values represents the strongest correlation between variables?

When the population correlation coefficient is greater than 0,the sampling distribution is ______.

The sampling distribution of the population correlation coefficient is ____ when the population coefficient is equal to 0.

The population value of the standard error of stimate can be estimated from ample data by substituting the degrees of freedom of ____________________ in the denominator.

The use of the slope as an index of effect size only makes sense when the correlation between Y and X is relatively low.

A relationship between two variables might exist in a sample even though it does not exist in the population.

The traditional null hypothesis tested using the Pearson correlation is _____.

In regression,the variable from which predictions are made is formally known as the ____________________.

The _____ of the estimated standard error of estimate provides a measure of the amount of predictive error that occurs.

What does the estimated standard error of the estimate represent?

In Pearson correlation,the alternative hypothesis states that r ___ 0.

What is the technical term/phrase that is used to describe the problem in the previous question?

The values of _____ are estimates of _____,respectively.

Introduction and Mathematical Preliminaries

Frequency and Probability Distributions

Percentiles percentile Ranks standard Scores and the Normal Distribution

Pearson Correlation and Regression: Descriptive Aspects

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

Chi-Square Test

Nonparametric Statistics

Two-Way Between-Subjects Analysis of Variance

Overview and Extension: Statistical Tests for More Complex Designs

Filters

The values of _ are estimates of _,respectively.