QUESTION THREE (a)For policy purposes, Social Science researchers are always interested in the relationshipsbetween or among variables. When two variables are related, a desired policy outcome can beachieved by manipulating one of such variables. Table 1 illustrates one of such researchoutputs.Table 1: Correlation analysis of motivation and employee performanceX4 - EmployeeX2 - MotivationperformanceXx-EmployeePearson1.000.593***CorrelationperformanceSig. (2-tailed).000N612612*** Coefficient is significant at the 0.01 level (2-tailed)Study the results carefully and explain them in terms ofi.presence of relationshipii.nature of the relationshipiii.direction of the relationshipDOD01- 04iv.the strength and significance of associationv.the changes in employee performance that can be attributed to motivation

Answered: Image /qna-images/answer/e80031b2-30a9-40ae-8416-dcbbca6548bd.jpg

Answered: QUESTION THREE (a) For policy purposes,…

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

Similar questions

Question 7 Identify the most likely type of causal relationship between each of the following pairs of variables. Assume that a strong positive correlation has been observed between the two variables, with the first one being the independent variable. DDDD reverse cause and effect accidental relationship presumed relationship cause and effect 1. 2. 3. 4. the number of police officers, the number of crimes the UV index rating, the rate of developing a sunburn without any sunscreen protection on the skin sales of ice cream cones at Cold Stone Creamery, revenue at Wild Waterworks swimming pool at Confederation Park ticket sales for the school play, "Broadway Titans 2" revenue from
A Pearson correlation of r = -0.90 indicates that the data points are clustered close to a line that slopes down to the right. Question 3 options: True False
In a study on television violence and aggression, researchers measured the TV viewing habits of 3rd grade males (preference for violent TV shows) and their levels of aggression; and then revisited the men 10 years later and measured the same variables. They found these zero-order correlations: Aggression G3 TV G3 Aggression Y18 Aggression G3 1.0 .65 .45 TV G3 1.0 .5 Aggression Y18 1.0 a) Suggest an operational definition to measure TV show preference for violent TV shows at Grade 3 and at Year 18. b) What is going on if the partial correlation of TV G3 and AGG Y18 with AGG G3 held constant is .09? How do you know this? c) What is going on if the partial correlation of AGG G3 and AGG Y18 with TV G3 held constant is .06? How do you know this?
Can you answer #8?
A paper concluded that there was a correlation between refined sugar consumption (calories per person per day) and annual rate of major depression (cases per 100 people) based on data from six countries. The following data were read from a graph that appeared in the раper. Sugar Consumption Depression Rate Country Korea 160 2.4 United States 290 3.1 France 360 4.3 Germany 365 4.9 Canada 380 5.3 New Zealand 470 5.6 n USE SALT (a) Calculate the correlation coefficient for this data set. (Round your answer to four decimal places.) r = 0.9428 Interpret the correlation coefficient for this data set. O There is a weak, positive linear relationship between depression rate and sugar consumption. O There is no linear relationship between depression rate and sugar consumption. O There is a strong, negative linear relationship between depression rate and sugar consumption. O There is a weak, negative linear relationship between depression rate and sugar consumption. O There is a strong, positive…
Data management
You conduct a Pearson Product-Moment correlation test to see if two variables are related to each other. Even though the test is significant, you suspect that there actually isn't a real relationship between X and Y, and that they only seem to be related because of their relationship to another variable Z. This is called: bi-directionality the third-variable problem reverse-causality a causal effect
(a) The data in the following table are taken from an article in the New York Times(April 20, 2001), “Victim’s Race Affects Killer’s Sentence.” The data are from astudy of all homicide cases in North Carolina for the period 1993-1997 in which itwas possible that a murder conviction would result in the death penalty. Such datahave played an important role in the debate about the death penalty in the U.S.,the only wealthy western nation which imposes it.Defendant’s Race Victim’s Race Death Penalty No Death PenaltyNot White White 33 251White White 33 508Not White Not White 29 587White Not White 4 76Does the numbers support that there was no bias in making decisions on deathpenalty on the grounds of the Defendent’s Race or Victim’s Race. Is there anyevidence that the combination of the victim’s race and the defendant’s race wasindependent of whether the defendant received the death penalty for convicted mur-derers in North Carolina during the years 1993-1997. What methods should be usedto…
Chapter 9 question 1
17. Measles and Mumps A researcher wishes to see if there is a relationship between the number of reported cases of measles and mumps for a recent 5-year pe- riod. Is there a linear relationship between the two variables? Measles cases 43 140 71 63 212 Mumps cases 800 454 1991 2612 370 Source: U.S. Department of Health. 10-16

Recommended textbooks for you

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

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

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

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

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

Elementary Statistics: Picturing the World (7th E…

Statistics

ISBN:

9780134683416

Author:

Ron Larson, Betsy Farber

Publisher:

PEARSON

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

Statistics

ISBN:

9781319013387

Author:

David S. Moore, George P. McCabe, Bruce A. Craig

Publisher:

W. H. Freeman

SEE MORE TEXTBOOKS