Calculate the Pearson's coefficient r, then explain the direction and strength of the relationship based on the r. 1234ASubject ID56789101112131415161718192021DO222312345LO6700891011121314151617181920Beducation1413121416121512101418121216181410121513Cmemory1121179811411089941068610711384102901198697106114110 (Round calculated results to the hundredth (2nd place to the right of the decimal) when result extendsbeyond that unless otherwise noted).The data set for this question set (Tab Q1 in the Excel data file) comes from a research project thattracks the elderly residents in a community to monitor their cognitive function and general health.Based on the literature, education is considered a protective factor against dementia, and memorydecline is usually the first sign of dementia. So, the researchers would like to know whether educationlevel (measured in number of years of formal schooling) is correlated with memory function (astandardized memory test score) in their sample of elderly residents.Q1a. Create a scatter plot between the two variabloc ucin

Answered: Calculate the Pearson's coefficient r,…

Math

Statistics

Calculate the Pearson's coefficient r, then explain the direction and strength of the relationship based on the r

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

Exercise 5.1.2 Normalize V = 15-3.4i 2.1-16i
1) Establish two linear functions shown below and find X and Y coordinate of the intercept P of two lines: Y 150 80 150 300
A regression analysis was performed to determine if there is a relationship between hours of TV watched per day () and number of sit ups a person can do (y). The results of the regression were: y=ax+b a3D-0.838 b=28.783 es 72-0.784996 r=-0.886 rences borations Use this to predict the number of sit ups a person who watches 1 hours of TV can do, and please round your answer to a whole number. gle Drive ce 365 Submit Question adent Course aluations ere to search Chp ins prt sc delete f12 f9 f10 fa f5 f6 +1 f4 backspa & $4 8. 6 3 O E R T II 5
Customers at a large department store rated their satisfaction with their purchases, on a scale from 1 (least satisfied) to 10 (most satisfied). The cost of their purchases was also recorded. To three decimal places, determine the correlation coefficient between rating and purchase amount spent. Then describe the strength and direction of the relationship.
Explain the forward difference equation?
Research has shown that 55% of new Small Medium Enterprises (SME's) are started by graduates while 45% are started by non-graduates. It is also known that 70% of SMEs started by graduates are successful i.e. they survive beyond 3 years, while only 10% of those started by non-graduates are successful. Required: If it is known that a new SME is not successful, what is the probability that it was not started by a graduate?
A chemistry experiment is performed measuring the solubility of potassium chloride (KCl) in water at different temperatures. The goal was to determine if there is a linear relationship between the temperature of the water and how much KCl can dissolve, measured as grams per 100 milliliter (g/100mL). After the experiments were performed, the following data was collected with temperature being the independent x-variable and solubility being the dependent y-variable: Temperature (°C) x Solubility (g/100mL) y 10 31 20 33 30 37 40 41 50 42 Based on the data given for temperature and solubility of KCl and without doing any math yet, which of the following do you predict would best describe the relationship between these variables? A positive linear relationship (r close to 1) A positive linear relationship (r close to -1) A negative linear relationship (r close to 1) A negative linear relationship (r close to -1)…
A professor wants to predict students' final examination scores on the basis of their midterm test scores. An equation was determined on the basis of data on the scores of three students who took the same course with the same instructor the previous semester (see the table on the right). a) Find the regression line, y=mx+b. Midterm Score, x 82 65 69 Final Exam Score, y b)The midterm score of a student was 88%. Use the regression line to predict the student's final exam score. 87 67 78 a) y = ☐ (Simplify your answer. Round to five decimal places as needed.) b) The student's final exam score is (Simplify your answer. Round to two decimal places as needed.).
You performed a regression analysis of a set of bibariate data (two variables) and found that the coefficient od determination was .99 for a quadratic model and .88 for cubic model Explain which model you would use and why
Please help ))()()
Suppose the equation of the regression line for the number of emails a person recieves at a particular sales company is given by y=9+19⋅x. Where y is based on the number of accounts the person has, x. If a person has 15 accounts, find the number of emails they will recieve. Number of emails:
Ans the question in 30 mints and gets thumbup