QUESTION 7ObservationIncome ($ x 1000)Education (Years)1301222812352184401653516The Spearman's rank correlation for that data is:O 0.8965O 0.87400.8879O 0.9487

Given that X Rank(X) Y Rank(Y) 30 2 12 1.5 28 1 12 1.5 52 5 18 5 40 4 16 3.5 35 3 16…

Answered: QUESTION 7 Observation Income ($ x…

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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14.36 Ecological correlation. Many studies reveal a positive correlation between income and number of years of education. To investigate this, a researcher makes two plots. Plot 1: Plot the number of years of education (the explanatory variable) versus the average annual income of all adults having that many years of education (the response variable). Plot 2: Plot the number of years of education (the explanatory variable) versus the individual annual incomes of all adults (the response variable).
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Do all Please calculate: Parameters a and b Correlation coefficient Determination coefficient Write correlation equation Visualise data in Scatter chart Provide explanation of results Year Sales, MEUR (Yi) Employees with higher education (Xi) 2010 70 10 2011 90 12 2012 100 15 2013 80 13 2014 110 17 2015 120 20 2016 150 25 2017 200 25 2018 200 25
Answer
There appears to be a problem with one of your contact methods. Please check your SettingS Enter the following table into your calculator or the Desmos Grapher and create the scatterplot. X 2 60 33 2,100 36 2,860 49 14,440 65 10,560 79 567,860 79 570,560 97 2,238,200 95 3,674,760 98 5282120 1. Is there a correlation for the data? If so, is it strong or weak? 2. What shape of function does the scatterplot show? 3. Use your calculator or the Desmos Grapher to find the equation for the line/curve of best fit. Now, use the equation editor to give the equation for the line/curve of best fit. 4. Determine if this equation is a good predictor of the data, using the appropriate number as proof/reasoning.
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X	Rank(X)	Y	Rank(Y)
30	2	12	1.5
28	1	12	1.5
52	5	18	5
40	4	16	3.5
35	3	16	3.5

QUESTION 7 Observation Income ($ x 1000) Education (Years) 1 30 12 2 28 12 3 52 18 16 16 4 40 35 The Spearman's rank correlation for that data is: 0.8965 0.8740 0.8879 0.9487