Question 1.Consider the table below:a) Draw a scatter diagram of the data.b) By hand, compute the correlation coefficient. (Use Computationalformula.)c) Based on your calculation in b, determine whether there is a linearrelation between x and y. How do you know?Xy21039576462

Given that, X 2 3 5 6 6 Y 10 9 7 4 2

Answered: Question 1. Consider the table below:…

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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What is the correlation coefficient of variables x and y? A. -0.96 B. -0.98 C. 0.98 D. 0.96
Find out the correlation existing between X and Y from the following scatter diagram y 60 40 20 20 40 60 a. High Negative Correlation b. Low Positive Correlation c. Low Negative Correlation d. High Positive Correlation
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1A: The following data are the college entrance exam (KGS) and verbal comprehension test (SAT) scores of 20 students. For these scores a) draw a scatter diagram b) calculate the correlation coefficient. id KGS (X) SAT(Y) A 52 49 B 49 49 C 26 17 D 28 34 E 63 52 F 44 41 G 70 45 H 32 32 I 49 29 J 51 49 K 64 53 L 28 17 M 49 40 N 43 41 O 30 15 P 65 50 R 35 28 S 60 55 T 49 37 U 66 50
Jim and Larry run a soup stand. The data below represents the sales of soup that they had on 8 randomly selected days, along with the high temperature on that day. a) Create a scatter diagram for this data set and comment on whether there is a positive or negative relationship between these variables.b) Calculate the correlation coefficient between temperature and sales.c) Does a linear relationship exist between these variables? Explain to me why or why not this is the case.d) Using excel, calculate the least squares regression equation for this data set. e) Using your equation, predict the soup sales on a day where the temperature is 29 degrees.f) Interpret the slope of this equation.g) Can we use this data set and regression equation to predict the sales on a day when the average temperature is 102 degrees? Why or why not?h) What is the R-squared for this equation? How do you interpret that R-squared?
Listed below are the budgets (in millions of dollars) and the gross receipts (in millions of dollars) for randomly selected movies. Answer parts a-c. Budget (x) Gross (y)60 6091 6050 4839 62193 558105 14087 52 a. Find the value of the linear correlation coefficient r.
What kind of relationship is depicted in the following graph? 7 2 1 0 2 3 a. A positive linear correlation b. A nonlinear correlation c. No correlation Od. A negative linear correlation 6 9 10
Which of the following correlation coefficients might lead a researcher to conclude that there is a weak, but significant, negative linear relation between variables X and Y? a. r=0.99 b. r=0.30 c. r=0 d. r=-0.30 c. r=-0.99
The asking prices (in Rands) and the actual selling prices (in Rands), after bargaining, of 8 commodities are given below. Commodity A D E F G H Asking price, x 150 350 400 750 100 650 600 250 Selling price, y 120 200 400 550 80 450 350 200 Find the correlation coefficient for the above data. A. 0.8224 B. 0.3722 С. 0.9438 D. 0.5318 Activate
6. A small company can employ 3 workers. Each worker independently stays on the job for an exponentially distributed time with a mean of one year and then quits. When a worker quits, it takes the company an exponentially distributed time with a mean of 1/10 of a year to hire a replacement for that worker (independently of how long it takes to replace other workers). If the company takes in $1000 per day in revenue when it has 3 workers, $800 per day when it has 2 workers, and $500 per day when it has 0 or 1 workers, what is the company's long-run average daily revenue?
The following table shows the approximate number of wireless telephone subscriptions in recent years.

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Question 1. Consider the table below: a) Draw a scatter diagram of the data. b) By hand, compute the correlation coefficient. (Use Computational formula.) c) Based on your calculation in b, determine whether there is a linear relation between x and y. How do you know? X y 2 10 3 9 5 7 6 4 6 2