2. Calculate Karl Pearson's coefficient of correlation between expenditure on advertisingand sales from the data given below.Advertising expenses396562908275259836Sales:7847535886626860915184

Solution-: Let, X=Advertising expense and Y=Sales Given data: X Y 39 47 65 53 62 58 90 86…

Answered: 2. Culculate Karl Pearson's coefficient…

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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3. .... 2. 5. 4. 3. 2. 参 dollars per year) Salary (thousands of Acreage dollars per year) Salary (thousands of square feet for the same houses, what would the correlation be? for some houses is 0.91. If you found the correlation between house price in thousands of dollars and area in 4.24 House Price The correlation between house price (in dollars) and area of the house (in square feet) Education (years) 2. 4. 0. 12 1. 8. 20. 60- Start Year 1985 40 2005 1995 2010 09 li. 06 (B) Full Bath 4. 1. 7. 6. 5. : (A) 0.777 0.374
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16 In 1970, the U.S. Armed Services instituted a lottery as a random selection process when 19- year old males were drafted into service. Each of the possible 366 possible birth dates was placed in a separate capsule and each capsule was placed in a large plastic drum. Those with the lowest lottery numbers were drafted before others. For example, the May 9th was 176. This meant that there would be 175 groups of males born on other days drafted before those who had been born on May 9th. The scatter plot below shows the median draft eligible number for each month of the year. The line that connects the points is sometimes called a median trace line. Which one of the following statement is TRUE? * Median Trace of Draft Lottery Numbers 240 220- 200- 180- 160 140 120 100 F M. A Median Draft Number to
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2. Culculate Karl Pearson's coefficient of correlation between expenditure on advertising and sales from the data given below. Advertișing expenses Sales 39 6.5 62 90 82 75 25 98 36 78 : 47 53 58 86 62 68 60 91 51 84