Which of the following is the slope of the regression line for your data on the number server users x (employee) against the amount of memory storage used y (GB) for a computer server in an IT company for a day? a. 0.17b. -0.17c. 0.43d. -0.43 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

Which of the following is the slope of the regression line for your data on the number server users x (employee) against the amount of memory storage used y (GB) for a computer server in an IT company for a day? a. 0.17 b. -0.17 c. 0.43 d. -0.43

Which of the following is the slope of the regression line for your data on the number server users x (employee) against the amount of memory storage used y (GB) for a computer server in an IT company for a day? a. 0.17 b. -0.17 c. 0.43 d. -0.43

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

Q8The manager of IT department at a large government agency is investigating the relationship between the age of a PC in years (x) and its monthly maintenance cost (in Dhs). He conducted a regression analysis on a sample of 60 PCs (range from new to 10 years old) and reported the regression equation as y with hat on top equals 110 plus 20 space x Which of the following is the correct interpretation of the slope? For every additional year of age, the monthly maintenance costs increase on average by 110 Dhs. The slope is meaningless in this case. For every additional year of age, the expected monthly maintenance cost of PCs increases by 20 Dhs. The expected monthly maintenance cost of a new PC is 110 Dhs.
Please help.Thanks so much
The owner of Showtime Movie Theaters, Inc., used multiple regression analysis to predict gross revenue (y) as a function of television advertising (x 1) and newspaper advertising (x 2). The estimated regression equation was Weekly Gross Revenue ($1000s) Televison Advertising ($1000s) Newspaper Advertising ($1000s) 97 6 1.5 91 3 2 95 5 2.5 93 3.5 2.5 96 4 4.3 94 4.5 2.3 95 3.5 4.2 95 4 3.5 ŷ = 82.5 + 2.01 x 1 + 1.26 x 2The computer solution provided SST = 24 and SSR = 22.876. Compute R 2 and R a 2 (to 3 decimals). R 2 R a 2 When television advertising was the only independent variable, R 2 = 0.551 and R a 2 = 0.476. Are the multiple regression analysis results preferable?
FAL The money raised and spent (both in millions of dollars) by all congressional campaigns for 8 recent 2-year periods are shown in the table. The equation of the regression line is y = 0.959x + 15.575. Find the coefficient of determination and interpret the result. Money raised, x Money spent, y 472.7 446.1 652.5 681.3 742.1 747.2 Find the coefficient of determination and interpret the result. 2 (Round to three decimal places as needed.) 785.7 779.4 1025.2 954.5 1207.4 1008.1 933.1 1165.1 769.1 725.3
It is a 2 part question. How can we find normality?
All parts-Please define variables and everything.
What is the slope and intercept for the regression equation given this data?X = -5, 34, 56, 0, 61Y = 13, 63, 46, -23, 50
The table below shows the average weekly wages (in dollars) for state government employees and federal government employees for 10 years, construct and interpret a 98% prediction interval for the average weekly wages of federal government employees when the average weekly wages of state government employees is $888 the equation of the regression line is y= 1.453x-47.386. Wages(state), X | 739|760|784|822|898|921|937|954|965| Wages (federal), Y |1,036|1,054|1,105|1,136|1,192|1,253|1,266|1,327|1,400|
The data show the chest size and weight of several bears. Find the regression equation, letting chest size be the independent (x) variable. Then find the best predicted weight of a bear with a chest size of 58 inches. Is the result close to the actual weight of 572 pounds? Use a significance level of 0.05. Chest size (inches) 46 57 53 41 40 40 Weight (pounds) 384 580 542 358 306 320 LOADING... Click the icon to view the critical values of the Pearson correlation coefficient r. What is the regression equation? y=nothing+nothingx (Round to one decimal place as needed.)
This question has do with linear regression.If I consider attendance in a class versus final grade in the class can you explain where there is a positive and when there is a negative relationship between them.
/ Example 18. Find the two lines of regressions from the following data: X: 158 160 163 165 167 170 172 175 177 181 Y: 163 158 167 170 160 180 170 175 172 175. Estimate Y, when X = 164. %3D
The slope of a regression line tells you how much or little a change in your dependent variable impacts your independent variable. O TrueO False