Question 1

In a regression equation,the variable from which predictions are being made (or_______)is known as a(n)______ variable.

Accepted Answer

A) X;dependent or criterion 
B) X;independent or predictor 
C) Y;dependent or criterion 
D) Y;independent or predictor 
A) X;dependent or criterion 
B) X;independent or predictor 
C) Y;dependent or criterion 
D) Y;independent or predictor

Question 2

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:  
What is the observed t-value for testing the null hypothesis?

Accepted Answer

A) 6.96 
B) 2.78 
C) 2.86 
D) 1.87 
A) 6.96 
B) 2.78 
C) 2.86 
D) 1.87

Question 3

In hypothesis testing for the correlation,if the null hypothesis is rejected and the sample correlation coefficient is positive,this indicates that in the population the correlation coefficient is also ____________________.

Accepted Answer

The answer of In hypothesis testing for the correlation,if the...

Question 4

If an experimental research strategy was used (i.e.,random assignment and control of extraneous variables),then causality can be inferred from a statistically significant correlation.

Accepted Answer

A) True 
 B)False

Question 5

Which of the following is NOT one of the assumptions of the Pearson correlation?

Accepted Answer

A) The sample is independently and randomly selected from the population. 
B) The variances of the Y scores are equal at every value of X in the population. 
C) The variables X and Y are qualitative in nature. 
D) The joint distribution (or scatterplot)of X and Y represent a bivariate normal distribution. 
A) The sample is independently and randomly selected from the population. 
B) The variances of the Y scores are equal at every value of X in the population. 
C) The variables X and Y are qualitative in nature. 
D) The joint distribution (or scatterplot)of X and Y represent a bivariate normal distribution.

Question 6

The ability to make a causal inference between two variables is a function of the ______.

Accepted Answer

A) level of measurement of the variables 
B) precision of measurement of the DV 
C) research design 
D) statistical technique used to analyze the data 
A) level of measurement of the variables 
B) precision of measurement of the DV 
C) research design 
D) statistical technique used to analyze the data

Question 7

If the test of a Pearson correlation yields statistically significant results,researchers will sometimes pursue analysis of the:

Accepted Answer

A) regression equation 
B) sample means 
C) group means 
D) bivariate normal distribution 
A) regression equation 
B) sample means 
C) group means 
D) bivariate normal distribution

Question 8

The linear model states that a person's score on Y is a linear function of X,with â
representing the intercept and á representing the slope.

Accepted Answer

A) True 
 B)False

Question 9

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 to oneself
Y = rating of likability of the target ("Sarah")
62 people participate in your study,and you obtain the following data:   
SCP = 66   
SSX = 40
SSY = 136
What is the regression line for this data?

Accepted Answer

b = @#IMG-DLM& 
= 1.

Question 10

If X helps to predict Y,then the estimated standard error of estimate will be _____ than the estimated standard deviation of _____.

Accepted Answer

A) larger;X 
B) larger;Y 
C) smaller;X 
D) smaller;Y 
A) larger;X 
B) larger;Y 
C) smaller;X 
D) smaller;Y

Question 11

How can regression analysis be applied to individuals who were not included in the original data set?

Accepted Answer

An important characteristic of regressio

Question 12

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

Accepted Answer

A) +.95 
B) -.60 
C) +.10 
D) -.04 
A) +.95 
B) -.60 
C) +.10 
D) -.04

Question 13

An important characteristic of regression is that _____ can be extended to individuals who were not included in the original data set.

Accepted Answer

A) correlated errors 
B) missing data 
C) sample means 
D) predictions 
A) correlated errors 
B) missing data 
C) sample means 
D) predictions

Question 14

An investigation of the relationship between years of formal education and IQ that was conducted with a sample size of 100 found a statistically significant correlation of .25.Another investigation of the same relationship had the same r value based on a sample size of 10,but it was not statistically significant.Why might this be?

Accepted Answer

A) a sample size of 100 has too much sampling error 
B) a sample size of 10 is more likely to produce a Type I error 
C) as sample size increases so does the power of the statistic 
D) the standard error was larger in the sample where N = 100 
A) a sample size of 100 has too much sampling error 
B) a sample size of 10 is more likely to produce a Type I error 
C) as sample size increases so does the power of the statistic 
D) the standard error was larger in the sample where N = 100

Question 15

r2 is formally known as ____________________.

Accepted Answer

The coeffi

Question 16

When ñ   
0,the sampling distribution of the correlation coefficient is skewed.

Accepted Answer

A) True 
 B)False

Question 17

The nature of the relationship between two correlated variables is determined through examination of the _____ of the correlation coefficient observed in the _____.

Accepted Answer

A) absolute value;population 
B) strength;population 
C) sign;sample 
D) squared value;sample 
A) absolute value;population 
B) strength;population 
C) sign;sample 
D) squared value;sample

Question 18

If you compute a statistically significant negative r between two variables (X and Y),this tells you that _____.

Accepted Answer

A) higher scores on X are associated with higher scores on Y 
B) X and Y are unrelated to each other in the population 
C) higher scores on X are associated with lower scores on Y 
D) you have made a computational error 
A) higher scores on X are associated with higher scores on Y 
B) X and Y are unrelated to each other in the population 
C) higher scores on X are associated with lower scores on Y 
D) you have made a computational error

Question 19

A researcher believes that an extroverted personality is positively related to self-esteem.She obtains measures of both variables for 25 people,and calculates a correlation coefficient of .35.If the alpha level is .05,directional test,how would this result be reported in a psychological journal?

Accepted Answer

A) r(25)= .35,p  .05 
D) r(23)= .35,p < .05 
A) r(25)= .35,p  .05 
D) r(23)= .35,p < .05

Question 20

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:  
After comparing the observed correlation to the critical values of  $\pm$2.042,what would your conclusion be regarding the "true" correlation in the population (r)?

Accepted Answer

A) r most likely differed from zero because of sampling error 
B) You are confident that r does not equal zero 
C) It is likely that r1 ¹ r2 
D) There is a weak relationship between work experience and income 
A) r most likely differed from zero because of sampling error 
B) You are confident that r does not equal zero 
C) It is likely that r1 ¹ r2 
D) There is a weak relationship between work experience and income

In a regression equation,the variable from which predictions are being made (or_)is known as a(n) variable.

In hypothesis testing for the correlation,if the null hypothesis is rejected and the sample correlation coefficient is positive,this indicates that in the population the correlation coefficient is also ____________________.

If an experimental research strategy was used (i.e.,random assignment and control of extraneous variables),then causality can be inferred from a statistically significant correlation.

Which of the following is NOT one of the assumptions of the Pearson correlation?

The ability to make a causal inference between two variables is a function of the ______.

If the test of a Pearson correlation yields statistically significant results,researchers will sometimes pursue analysis of the:

The linear model states that a person's score on Y is a linear function of X,with â representing the intercept and á representing the slope.

If X helps to predict Y,then the estimated standard error of estimate will be _ than the estimated standard deviation of _.

How can regression analysis be applied to individuals who were not included in the original data set?

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

An important characteristic of regression is that _____ can be extended to individuals who were not included in the original data set.

r₂ is formally known as ____________________.

When ñ 0,the sampling distribution of the correlation coefficient is skewed.

The nature of the relationship between two correlated variables is determined through examination of the _ of the correlation coefficient observed in the _.

If you compute a statistically significant negative r between two variables (X and Y),this tells you that _____.

A researcher believes that an extroverted personality is positively related to self-esteem.She obtains measures of both variables for 25 people,and calculates a correlation coefficient of .35.If the alpha level is .05,directional test,how would this result be reported in a psychological journal?

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

In a regression equation,the variable from which predictions are being made (or_______)is known as a(n)______ variable.

In hypothesis testing for the correlation,if the null hypothesis is rejected and the sample correlation coefficient is positive,this indicates that in the population the correlation coefficient is also ____________________.

If an experimental research strategy was used (i.e.,random assignment and control of extraneous variables),then causality can be inferred from a statistically significant correlation.

Which of the following is NOT one of the assumptions of the Pearson correlation?

The ability to make a causal inference between two variables is a function of the ______.

If the test of a Pearson correlation yields statistically significant results,researchers will sometimes pursue analysis of the:

The linear model states that a person's score on Y is a linear function of X,with â representing the intercept and á representing the slope.

If X helps to predict Y,then the estimated standard error of estimate will be _____ than the estimated standard deviation of _____.

How can regression analysis be applied to individuals who were not included in the original data set?

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

An important characteristic of regression is that _____ can be extended to individuals who were not included in the original data set.

r2 is formally known as ____________________.

When ñ 0,the sampling distribution of the correlation coefficient is skewed.

The nature of the relationship between two correlated variables is determined through examination of the _____ of the correlation coefficient observed in the _____.

If you compute a statistically significant negative r between two variables (X and Y),this tells you that _____.

A researcher believes that an extroverted personality is positively related to self-esteem.She obtains measures of both variables for 25 people,and calculates a correlation coefficient of .35.If the alpha level is .05,directional test,how would this result be reported in a psychological journal?

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

In a regression equation,the variable from which predictions are being made (or_)is known as a(n) variable.

If X helps to predict Y,then the estimated standard error of estimate will be _ than the estimated standard deviation of _.

r₂ is formally known as ____________________.

The nature of the relationship between two correlated variables is determined through examination of the _ of the correlation coefficient observed in the _.