Suppose that a firm had the following profit and investment expenditures in each year from 2013-2021.Years20132014201520162017201820192020 2021Profits ($ millions) X554846432453556365Investment Expenditure ($ thousand) Y454735312853505061a) Construct a scatter plot diagram and comment on the relationship between y and xb) Calculate the correlation coefficient (r) between x and y and comment on the result.

Given: Data for X: 55,48,46,43,24,53,55,63,65Data for Y: 45,47,35,31,28,53,50,50,61

Answered: Suppose that a firm had the following…

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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Please explain step by step how you solved for each problem, and where the numbers came from.
NHL Assists and Total Points A random sample of scoring leaders from the National Hockey League (NHL) showed the following numbers of assists and total points. Based on these data, can it be concluded that there is a significant relationship between the two? Draw the scatter plots for the variables. Assists 59 68 44 65 67 69 Total points 109 101 95 94 91 89
Let x be the average number of employees in a group health insurance plan, and let y be the average administrative cost as a percentage of claims. x 3 7 15 32 75 y 40 35 30 26 18 (a) Make a scatter diagram of the data and visualize the line you think best fits the data. Flash Player version 10 or higher is required for this question. You can get Flash Player free from Adobe's website. (b) Would you say the correlation is low, moderate, or strong? positive or negative? strong and negative moderate and negative strong and positive low and negative low and positive moderate and positive (c) Use a calculator to verify that Σx = 132, Σx2 = 6932, Σy = 149, Σy2 = 4725, and Σxy = 2997. Compute r. (Round your answer to three decimal places.)r = As x increases, does the value of r imply that y should tend to increase or decrease? Explain. Given our value of r, we cannot draw any conclusions for the behavior of y as x increases. Given our value of r, y should tend to…
The table gives information about the number of people staying in a hotel each quarter in 2020 and in 2021.Calculate the 4-point moving averages for this information. year 2020 2021 quarter 1 2 3 4 1 2 3 4 people 261 353 372 290 193 309 292 202
47. The following table shows the scores on a clerical aptitude test and grades in a clerical skills course for 11 business administration students. Aptitude Test Score (x) 71 77 67 76 60 72 95 85 91 83 71 Skills Course Score (y) 73 85 74 82 70 83 92 85 97 89 79 a. Sketch the data using scatter diagram. b. Determine whether the data provide sufficient evidence to indicate that clerical aptitude test score and clerical skills course score are linearly related using 0.01 level of significance. C. Find the regression line. 48. The city engineer wants to establish the relationship between household size and monthly household water consumption. Given the data in the table, determine the following: Plot the data in a scatter plot and find the correlation r. Determine whether we can conclude from these data that the two variables are linearly related at 0.05 level of significance. Find the regression line. a. b. C. Household size (x) Gallons of Water Used (y) C. 3 3 4 8 7 655 700 500 800 600…
Given the graph below, what type of correlation would you predict there is between the variables? CAR PRICE DEPENDING ON AGE Price (dollars) 10000 9000 8000 7000 6000 5000 4000 3000 2000 1000- 4. 10 Age (years) O Positive correlation O Negative correlation O No correlation
Please help me answer the questions about correlation according to the graph. So would it be linear, strong, positive, or no association? Or negative and weak?
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
The age and prices of 11 Nissan cars given in the following data: Age (in years) 5 4 6 5 5 5 6 6 2 7 7 Price (in $100s) 85 103 70 82 89 98 66 95 169 70 48 a. Obtain the correlation coefficient between the age and price of the cars. Interpret the value of the correlation coefficient. b. Obtain a regression equation of Price (dependent variable) on Age (Independent variable). c. What will be the Price of the car after 3 years? d. Find the coefficient of determination. Determine the percent of variation that is explained by the regression equation clearly.
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The following table shows the approximate number of wireless telephone subscriptions in recent years.

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