The given data represent the total compensation for 10 randomly selected CEOS and their company's stock performance in 2009. Analysis of this data reveals a correlation coefficient of r= -0.1749. What would be the predicted stock return for a company whose CEO made $15 million? What would be the predicted stock return for a company whose CEO made $25 million? E Click the icon to view the compensation and stock performance data. A Click the icon to view a table of critical values for the correlation coefficient. What would be the predicted stock return for a company whose CEO made $15 million? % (Type an integer or decimal rounded to one decimal place as needed.) Reference CEO Compensation and Stock Performance Compensation (millions of dollars) Return (%) Critical Values for Correlation Coefficient Stock 26.47 5.66 3 0.997 12.55 30.14 19.91 31.53 4 0.950 13.58 79.96 0.878 11.82 - 8.44 6. 0.811 11.46 2.61 0.754 26.39 4.32 8. 0.707 14.47 10.57 Enter 9. 0.666 17.64 4.14 10 14.52 11.58 1 pa re 0.632 11 0.602

The given data represent the total compensation for 10 randomly selected CEOS and their company's stock performance in 2009. Analysis of this data reveals a correlation coefficient of r= -0.1749. What would be the predicted stock return for a company whose CEO made $15 million? What would be the predicted stock return for a company whose CEO made $25 million? E Click the icon to view the compensation and stock performance data. A Click the icon to view a table of critical values for the correlation coefficient. What would be the predicted stock return for a company whose CEO made $15 million? % (Type an integer or decimal rounded to one decimal place as needed.) Reference CEO Compensation and Stock Performance Compensation (millions of dollars) Return (%) Critical Values for Correlation Coefficient Stock 26.47 5.66 3 0.997 12.55 30.14 19.91 31.53 4 0.950 13.58 79.96 0.878 11.82 - 8.44 6. 0.811 11.46 2.61 0.754 26.39 4.32 8. 0.707 14.47 10.57 Enter 9. 0.666 17.64 4.14 10 14.52 11.58 1 pa re 0.632 11 0.602

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

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…
What does the sign and actual number tell you in a correlation?
The more serving of fruits and vegetables that people tend to eat during the week, the lower their levels of cholesterol. What type of correlation vegetables eaten and cholesterol levels? A positive B negative
You generate a scatter plot using excel. Excel plot the trend line and report the equation y=-49.78x+24.08 and the r^2=0.3969 what is the correlation coefficient for this data set?
Give an example of two variables that you would expect to have a correlation close to or equal to -1. Give an example of two variables that you would expect to have a correlation close to or equal to 0. Remember that survey question you wrote? Take the class responses to your survey as data related to the one variable of your question. Now, take the list of responses from the survey question that one of your classmates wrote. Write down both lists of data. (If one sample size happens to be different from the other, cut the larger sample size down to that of the smaller sample size.) Calculate the correlation between the two variables. Describe the linear relationship between these two variables. (data for number 3) How many cars have you had so far in your lifetime? 0,1,1,1,2,2,2,2,3,3,3,3,4,4,5,6,6,7,10. How many days per week do you exercise? 0,0,0,1,2,3,3,3,3,4,4,4,4,5,5,5,5,6,6,6
A manager wishes to determine the relationship between the number of years the manager's sales representatives have been with the company and their average monthly sales (in thousands of dollars). Calculate the linear correlation coefficient.Years with company, x: 6,7,14,11,12,19,7,5,15Sales, y: 21,23,68,52,55,51,38,45,110
Help
Please submit the answer via a PDF document or Word document. **Correlational Analysis** Use the following data and scenario to answer the questions. You are interested in whether there is a relationship between the amount of exercise and the number of hours one sleeps. You collect the following data and conduct a correlational analysis to assess if there is a relationship the strength of the relationship. You hypothesize that there is a relationship between the amount of exercise and the number of hours one sleeps. Does the amount of exercise relate to hours of sleep? Is there a strong, moderate, or weak correlation with the following data? Is there a positive or negative relationship? What is the R (Pearson Roe Correlation Coefficient) for the data? Amount of exercising in hours per week Average hours of sleep 6 8 9 10 6 9 4 5 5 4 5 5 5 5 3 3 5 5 4 3 3 3 2 3 2 4 3 4 3 3 4 4 5 6 5 6 6 7 6 7 7 8 7 8 7 8 8 7 0 4 0 4 1 4 2 4…
Write down the properties of R2 . If R2=35.7%, interpret your data. Distinguish between the correlation and regression with example.
Give an example of a correlation study, and identify the independent and dependent variables.
An LCBO employee compares the relationship between the price of 6 different vintage bottles of wine, and the number of those bottles that have been purchased in the last 3 months to see if there is a correlation between the number of bottles purchased and the price of the bottle. Number of Bottles of Wine Purchased in the Price of Wine Bottle ($) Last 3 Months 44 18 93 65 82 56 25 60 15 30 20 40