The output below shows the relationship between stress and job performance:Correlation StressJob performanceStressPearson Correlation1 Sig. (2-tailed) N213 Job performancePearson Correlation-.682**1Sig. (2-tailed).000 N213213**. Correlation is significant at the 0.01 level (2-tailed). Question: The correlation output shows what type of relationship?

We want to tell the correlation output shows what type of relationship

Answered: Correlation Stress Job performance…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Check the table below and create your analysis if the correlation result is:
The finding that "the longer a person smokes cigarettes, the shorter their life expectancy" is an example of: a negative correlation a positive correlation no correlation a spurious correlation
A professor at the University of New Hampshire was interested in evaluating the effect of the unemployment rate on the incarceration rate. Using data from 50 states and the District of Columbia (n = 51), the researcher computed the Pearson’s correlation coefficient between the two variables. The results are presented below. Correlations Incarceration Unemployment Incarceration Pearson Correlation 1 .209 Sig. (2-tailed) .142 N 51 51 Unemployment Pearson Correlation .209 1 Sig. (2-tailed) .142 N 51 51 Question What is the sample? What is the dependent variable? What is the independent variable?
use the sample data to construct a scatterplot. Use the first variable for the x-axis. Based on the scatterplot, what do you conclude about a linear correlation? FORECAST AND ACTUAL TEMPERATURES The table lists actual high temperatures and the high temperatures that were previously forecasted for these same days. The table includes data for ten different days near the author’s home. What does the result suggest about the accuracy of five-day predicted high temperatures?
Interpret the following output from a survey asking employees to indicate how many accidents they experienced at work (reported accidents), whether their supervisors enforce safety regulations (enforce), and how much their organization emphasized safety (safclim). Select all that apply. Correlations # Reported Accidents Pearson Correlation Sig. (2-tailed) N enforce Pearson Correlation Sig. (2-tailed) N safclim # Reported Accidents Pearson Correlation Sig. (2-tailed) N **. Correlation is significant at the 0.01 level (2-tailed). 1.000 123.000 .033 .716 121 -.064 .487 122 enforce .033 .716 121 1.000 safclim -.064 .487 122 .528** .000 126 1.000 126.000 .528** .000 126 127.000 This shows that there is a significant correlation between accidents at work and how much the organization emphasizes safety This shows that there is a positive correlation between the amount of supervisors enforce safety regulations and how much the organization emphasized safety There is a large effect size for…
(e)
A professor at the University of New Hampshire was interested in evaluating the effect of the unemployment rate on the incarceration rate. Using data from 50 states and the District of Columbia (n = 51), the researcher computed the Pearson’s correlation coefficient between the two variables. The results are presented below. Correlations Incarceration Unemployment Incarceration Pearson Correlation 1 .209 Sig. (2-tailed) .142 N 51 51 Unemployment Pearson Correlation .209 1 Sig. (2-tailed) .142 N 51 51 Using an alpha level of 0.05 and the four steps of the hypothesis testing process, test the research hypotheses that unemployment increases incarceration. Step 3 Step 4 Based on your decision to step 4 what type of error might you be making?
Which of the following best describes the Pearson correlation for these data? X Y 2 5 5 1 3 4 4 2
Match each correlation to the correspoding scatterplot please.
Example 3. Calculate Correlation Coefficient from the data given below by direct method i.e., without taking deviations of items from actual or assumed mean Roll No. of Students : Marks in Maths : Marks in Stat : 2 3 4. 48 35 17 23 47 45 20 40 25 45.
Thank you

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Correlation
	Stress	Job performance
Stress	Pearson Correlation	1
Sig. (2-tailed)
N	213
Job performance	Pearson Correlation	-.682^**	1
Sig. (2-tailed)	.000
N	213	213
**. Correlation is significant at the 0.01 level (2-tailed).

Correlation Stress Job performance Stress Pearson Correlation 1 Sig. (2-tailed) N 213 Job performance Pearson Correlation -.682** 1 Sig. (2-tailed) .000 N 213 213 **. Correlation is significant at the 0.01 level (2-tailed). Question: The correlation output shows what type of relationship?

Correlation Stress Job performance Stress Pearson Correlation 1 Sig. (2-tailed) N 213 Job performance Pearson Correlation -.682 1 Sig. (2-tailed) .000 N 213 213 . Correlation is significant at the 0.01 level (2-tailed). Question: The correlation output shows what type of relationship?