Homework Help is Here – Start Your Trial Now!
Math
Statistics
A researcher is interested in the relationships between variables in a demographic information dataset. Pearson correlations are presented below: number of children age in years yearly income in $1000s Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N years of schooling Correlations number of children Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N **. Correlation is significant at the 0.01 level (2-tailed). 1 30 -.323 .081 30 -.246 .189 30 -.003 .986 30 age in years -.323 .081 30 1 30 .521" .003 30 -.057 .764 30 yearly income in $1000s -.246 .189 30 .521** .003 30 1 30 .528 .003 30 years of schooling -.003 .986 30 -.057 .764 30 .528 .003 30 1 30 What is the correct conclusion for the correlation between age in years and yearly income? There is a positive correlation between age and yearly income. As people get older they tend to earn less money. As people get older they tend to earn more money. There is no significant relationship.

A researcher is interested in the relationships between variables in a demographic information dataset. Pearson correlations are presented below: number of children age in years yearly income in $1000s Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N years of schooling Correlations number of children Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N **. Correlation is significant at the 0.01 level (2-tailed). 1 30 -.323 .081 30 -.246 .189 30 -.003 .986 30 age in years -.323 .081 30 1 30 .521" .003 30 -.057 .764 30 yearly income in $1000s -.246 .189 30 .521** .003 30 1 30 .528 .003 30 years of schooling -.003 .986 30 -.057 .764 30 .528 .003 30 1 30 What is the correct conclusion for the correlation between age in years and yearly income? There is a positive correlation between age and yearly income. As people get older they tend to earn less money. As people get older they tend to earn more money. There is no significant relationship.

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
See similar textbooks
icon
Related questions
Question
A researcher is interested in the relationships between variables in a demographic information dataset. Pearson correlations are presented below: number of children age in years yearly income in $1000s years of schooling Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Correlations number of children 1 30 -.323 .081 30 -.246 .189 30 -.003 .986 30 **. Correlation is significant at the 0.01 level (2-tailed). age in years -.323 .081 30 1 30 .521** .003 30 -.057 .764 30 yearly income in $1000s -.246 .189 30 .521** .003 30 1 30 .528** .003 30 years of schooling -.003 .986 30 -.057 .764 30 .528 .003 30 1 O There is a positive correlation between age and yearly income. 30 What is the correct conclusion for the correlation between age in years and yearly income? As people get older they tend to earn less money. As people get older they tend to earn more money. There is no significant relationship.
Transcribed Image Text:A researcher is interested in the relationships between variables in a demographic information dataset. Pearson correlations are presented below: number of children age in years yearly income in $1000s years of schooling Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Correlations number of children 1 30 -.323 .081 30 -.246 .189 30 -.003 .986 30 **. Correlation is significant at the 0.01 level (2-tailed). age in years -.323 .081 30 1 30 .521** .003 30 -.057 .764 30 yearly income in $1000s -.246 .189 30 .521** .003 30 1 30 .528** .003 30 years of schooling -.003 .986 30 -.057 .764 30 .528 .003 30 1 O There is a positive correlation between age and yearly income. 30 What is the correct conclusion for the correlation between age in years and yearly income? As people get older they tend to earn less money. As people get older they tend to earn more money. There is no significant relationship.
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 2 steps

SEE SOLUTIONCheck out a sample Q&A here
Blurred answer
Similar questions
  • SEE MORE QUESTIONS
Recommended textbooks for you
MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman
SEE MORE TEXTBOOKS