For the accompanying data set, (a) draw a scatter diagram of the data, (b) by hand, compute the correlation coefficient, and (c) determine whether there is a linear relation between x and y.Click here to view the data set.Click here to view the critical values table.(a) Draw a scatter diagram of the data. Choose the correct graph below.O A.OB.C.OD.20-Ay20-Ay20-Ay20-0-0-0-0-10101010(b) By hand, compute the correlation coefficient.The correlation coefficient is r=(Round to three decimal places as needed.)(c) Determine whether there is a linear relation between x and y.Because the correlation coefficient isand the absolute value of the correlation coefficient,than the critical value for this data set,linear relation exists between x and y.(Round to three decimal places as nenegativepositiveis For the accompanying data set, (a) draw a scatter diagram of the data, (b) by hand, compute the correlation coefficient, and (c) determine whether there is a linear relation between x and y.Click here to view the data set.Click here to view the critical values table.Critical values for the correlation coefficient(a) Draw a scatter diagram of the data. Choose the correct graph below.O A.В.OC.Critical Values for Correlation CoefficientAy20-Ay20-Ay20-30.99740.95050.8780.811X0-0-0-70.754101080.7070.666(b) By hand, compu10 0.63211 0.60212 0.57613 0.55314 0.532Data setThe correlation coef(c) Determine wheth15 0.514Because the correlaX46.6.isthan the critical value for th16 0.49717 0.48218 0.46819 0.45620 0.44421 0.43322 0.42323 0.41324 0.404(Round to three decy48.121318greaterPrintDonenot greater25 0.39626 0.38827 0.38128 0.37429 0.36730 0.361

( a ) Scatter plot : Answer : Option ( A)✔️ ( b ) Answer : Correlation ( r ) = 0.955

Answered: For the accompanying data set, (a) draw…

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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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?
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.
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.
The data below was collected from manufacturer advertisements of their vehicles horsepower (x) and highway gas mileage (mpg=y). Use this data to answer the following questions. horsepower 146 250 340 350 390 190 220 mpg 33 28 15 17 11 35 42 1. Find the p-value to determine if there is a linear correlation between horsepower and highway gas mileage (mpg). Record the p-value below. Round to four decimal places.p-value==2. Is there a linear correlation between horsepower and highway gas mileage (mpg)? 3. If there is a linear correlation, write the correlation coefficient below. Otherwise, leave it blank. Round your final answer to four decimal places. Be careful with your sign.r=r= 4. If there is a linear correlation, write the regression equation below. Otherwise, leave it blank. Round all numbers to four decimal places.ˆy=y^=5. Using the data shown above, predict the the highway gas mileage (mpg) for a car that has a horsepower of 225. Round your final answer to two decimal…
A student of Engineering conducted a research to determine the correlation between performance of 2 lathes in the workshop. Assessments were conducted on weekly basis, and the following data were obtained. Calculate the coefficient of correlation using Karl Pearson's method, and discuss the level of the relationship. Table 2. The performance of the lathes on weekly basis. Week(s) 1st 2nd 3rd 4th 5th 6th 7th 8th 9th 10th Lathe A 42 48 40 28 46 90 28 56 16 22 Lathe B 56 78 72 24 60 42 36 82 28 34 良

Given are 3 observations for two variables, x and y. 1 3 6 9 10 40 What is the value of the correlation coefficient? Select one: a. -0.83 O b. 0.83 c. -0.93 d. 0.93
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
1. Find the value of Q₁ for this data: 2, 4, 6, 8, 10, 12, 14 O A 4 B.5 O c.8 OD. 12
Suppose we measure the heights (in inches) and weights (in pounds) of 100 randomly chosen college students. Furthermore suppose we calculate the correlation to be 0.6. If we change the measurements to centimeters and kilograms, what happens to the value of the correlation? Note: There are 2.54 centimeters in an inch, and there are 2.2 pounds in a kilogram. Group of answer choices: A. The correlation increases by a factor of 2.54/2.2 B. The correlation is still 0.6. C. The correlation decreases by a factor of 2.2. D. The correlation increases by a factor of 2.54.
The following table shows the approximate number of wireless telephone subscriptions in recent years.

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