B. Simple CorrelationThe monthly income of a person (y) is related to the age of the person(x). Along withhigher age of a person goes also higher monthly income. But while there is a positivecorrelation between age and income, we cannot say that age causes the income of aperson. Further, we cannot say the income of a person depends on that person's age.Given the sample data below: (show your solutions)a. Solve for the correlation rb. Test the significance of rCase #Y(Income) inthousands(Age) inyears19.281844320624123215276.2555102426129.1735101637Total154370

Correlation Coefficient is denoted by 'r' and it measures the linear relationship between two…

Answered: B. Simple Correlation The monthly…

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

choose the correct answer Given r = 0.945, the correlation scale indicates that _______ a. there is no correlation between the two variables.b. the correlation between the two variables is average.c. the correlation between the two variables is very high.d. the correlation between the two variables is very low.
Help with all
Show your solution pls.
please solve the rest
Use the table to find the following, unit price being your (x) and units sold (y). a. Find linear correlation coefficient. Years of Experience Salary in 1000$ 2 3. 15 28 42 13 64 50 16 90 11 58 8 54 b. Find the line of best fit. c. How many units will sell if the unit price was 0.85.
a. Calculate the sample covariance.X Y-3 -913 95 12b. Calculate the sample correlation.c. Describe in words the information given to us by the sample covariance and by the sample correlation.Explain how the correlation gives us more precise information.d. Explain why the covariance is not a good measure of the strength of the linear relationship between the twovariables.e. Sketch a scatterplot of a bivariate dataset with a correlation of 0.9f. Sketch a scatterplot of a bivariate dataset with a correlation of -0.3.
(Score for Question 2: of 7 points) 2. The data in the table represents the ralnfall (in inches) for two different cities every month. City 1 3.1 4.5 6.3 7.3 4.3 33 2.1 1.1 0.9 0.8 City 2 2.3 2.4 3.3 3.6 3.2 5.2 2.2 2.1 2.0 1.8 (a) Which city had the most spread in their rainfall? Show your work (b) Calculate the IQR for both cities. What is the difference between the IQR for both cities? (c) Which city had the most rainfall? Explain why you chose that city Answer. States) OFocus 100% pased-station us-cli. ational Conters for Environmontal DE hp
Attention: These data are different from your previous questions! Now Lynn takes a different approach. They collect another two samples - GPA from students taking a semester of in-class courses, and then the same students' GPA when they are taking a semester of online courses. The data set is below. They predict that they will find a difference between in-class GPA and online GPA for the same students. Differences Between GPA's Student In Class GPA Online GPA Amy 4.0 3.5 Brad 3.5 2.2 Caroline 3.7 2.0 Dan 3.5 3.5 Emily 3.6 3.3 Frank 3.2 3.2 George 3.3 2.1 What is the t-statistic for this t-test? (Round to 2 decimal places.)
Use the following to answer the question: ˆy=−4x+10.3 with R2=35%. Which best describes the correlation? Weak negative linear relationship Weak positive linear relationship Moderate negative linear relationship No linear relationship Moderate positive linear relationship
Suppose a clinical psychologist sets out to see whether sexual orientation is related to relationship longevity. He decides to measure relationship satisfaction in a group of homosexual couples and a group of heterosexual couples. He chooses the Marital Satisfaction Inventory because it refers to "partner" and "relationship" rather than "spouse" and "marriage," which makes it useful for research with both traditional and nontraditional couples. Higher scores on the Marital Satisfaction Inventory indicate greater relationship satisfaction. The psychologist administers the Marital Satisfaction Inventory to 53 couples-23 are homosexual couples and 30 are heterosexual couples. He wants to calculate the correlation between a couple's relationship satisfaction and sexual orientation. Which of the following types of correlations would be most appropriate for the psychologist to use? O A phi-correlation A Spearman correlation OA point-biserial correlation A Pearson correlation
Assumptions: Data are normally distributed. Your job, solved this problem: 1. Is there a significant RELATIONSHIP between X and Y? Explain! 2. calculate the correlation coefficient. 3. Is there a significant EFFECT between X and Y? Explain!
The correlation coefficient between variables X and Y is 0.62. What does this signify? Question 8Answer a. When Y increases 1, X increases by 0.62 b. When X increases by 1, Y increases by 0.62 c. The variance shared by X and Y is less 20% d. The variance shared by X and Y is 62%

SEE MORE QUESTIONS

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