Estimate the number of server users y (employees) when the amount of memory storage used x (GB) is x = 15.4 in a time slot based on the regression line for your data. a. 30 employeesb. 31 employeesc. 32 employeesd. 11.77 GB UsersMemory8:00 AM218:00 AM7.39:00 AM189:00 AM8.410:00 AM3210:00 AM14.311:00 AM2411:00 AM9.412:00 PM2912:00 PM7.31:00 PM161:00 PM7.82:00 PM272:00 PM7.33:00 PM243:00 PM8.44:00 PM284:00 PM9.45:00 PM195:00 PM10.2

According to the question, the independent variable is amount of memory storage used (x) and the…

Estimate the number of server users y (employees) when the amount of memory storage used x (GB) is x = 15.4 in a time slot based on the regression line for your data. a. 30 employees b. 31 employees c. 32 employees d. 11.77 GB

Estimate the number of server users y (employees) when the amount of memory storage used x (GB) is x = 15.4 in a time slot based on the regression line for your data. a. 30 employees b. 31 employees c. 32 employees d. 11.77 GB

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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The number of banks in a country has been dropping steadily since 1984, and the trend in recent years has been roughly linear. The annual data for the years 1999 through 2008 can be summarized as follows, where x represents the years since 1990 and y the number of banks, in thousands. n=10 Ex-235 ²-5605 Ey-77.564 Ey²=603.80424 Exy-1810.155 a. Find an equation for the least squares line. b. Use your result from part a to predict the number of banks in the year 2020. c. If this trend continues linearly, in what year will the number of banks drop below 6200? d. Find and interpret the correlation coefficient.
Please solve what’s not filled in.
Choose the correct answer of each number. 1. An analyst hired by the multinational company to study the sales data of its more than 75 stores worldwide. Used regression analysis to predict $ sales (y) by using $ advertising (x1) and $ salary of sales representatives (x2) across all the branches. You obtained the following regression function: y = 7800 + 8.5x1-1.6x2. If the advertising budgets of one of the branches of the corporation is now $45,000 (which is 10% more than before) and the salary of sales representatives is now $8,500 (which is 20% less than before), then the predicted sales before in that branch is a. $417,750 b. $341,250 c. $376,700 d. $335,6502. An analyst hired by the multinational company to study the sales data of its more than 75 stores worldwide. Used regression analysis to predict $ sales (y) by using $ advertising (x1) and $ salary of sales representatives (x2) across all the branches. You obtained the following regression function: y = 7800 + 8.5x1-1.6x2. If…
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The cost of fuel is the largest component of cost of ownership for most vehicles. Fuel cost is (almost) inversely proportional to gas mileage; higher gas mileage means lower fuel cost and vice-versa. If you keep track of the number of miles driven on each tank of gas as well as how much gas is purchased, it is easy to calculate gas mileage; many cell phone apps exist to track this. The data in the following table is the gas mileage for Mr. Hebert's 2015 Jeep Wrangler Unlimited. 12.85 14.98 15.36 17.09 18.86 13.28 15.11 15.62 17.50 19.07 13.48 15.12 15.65 17.66 20.91 14.65 15.13 16.41 18.17 21.17 14.71 15.14 16.80 18.27 22.11 a. Find the average fuel economy. x =enter your response here (Round your answer to 3 decimal places.)
Give an example of a nominal variable for people in recovery for substance abuse
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Complete the table.
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Explain the roles of tenter and tremove in stepwise regression.