The data provided give the number of standby hours based on total staff present, X₁, and remote hours, X₂. Perform a multiple regression analysis using the dataprovided and determine the VIF for each independent variable in the model. Is there reason to suspect the existence of collinearity?Click the icon to view the data.Determine the VIF for each independent variable in the model.|VIF ₂2 =VIF₁ =(Round to three decimal places as needed.)Is there reason to suspect the existence of collinearity?OA. No. The VIF for each independent variable is less than 5.B. Yes. The VIF for each independent variable is greater than 5.OC. No. The VIF for each independent variable is greater than 5.OD. Yes. The VIF for each independent variable is less than 5.wwwwwwwTable of DataStandby Total StaffHours Present245330274358195197117153115275200236336339321303286329352323RemoteHours417655524385349350388153278479PrintDone

The data on Stands-by hours based on total staff present and remotes hours are given below,SR…

Answered: provided and determine the VIF for each…

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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Complete the following worksheet and then use it to calculate the coefficient of determination. (9.-y) (y-95t 2.341 324.000 599.075 1,764.000 458.688 1,444.000 84.254 144.000 844.832 189.558. 1,032.016 1,968.164 2,248.941 37.442 i 1 2 3 4 179.530 13.5 220 202.476 16.5 140 156.583 14.5 190 187.179 17 140 148.934 16 160 164.232 13 210 210.125 18 150 133.636 9 12 220 225.423 10 15.5 190 171.881 5 6 X₂ y 15 160 7 The coefficient of determination (r) is Total According to the regression model, which of the following is the best estimate together with the 95 percent prediction interval of paint sales (in thousands of gallons) in a sales region where the selling price is $12.507 O 421.250 2(14.555) O 421.250 2(2.577) O 217.750 2(2.577) O217.750 2(14.555) -0.88 1,444.000 324.000 1,024.000 784.000 1,764.000 144.000 What is the price elasticity of demand at a selling price of $12.507 O-0.07 O-0.56 O-0.06
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The following data were collected. x 35 39 42 45 56 y 17 19 25 27 30 write an equation that models the data. ŷ = 0.631x − 3.791 ŷ = 3.791x + 0.631 ŷ = −0.631x + 3.791 ŷ = −3.791x − 0.631
Find the indicated z-scores shown in the graph. Click to view page 1 of the table. Click to view page 2 of the table. The Z-scores are (Use a comma to separate answers as needed. Round to two decimal places as needed.) 0.0256 Z=? 0 0.0256 Z=? X
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Do both please. Show all your work, please. 3 and 4 both say Find the value of x.
?
Determine whether the given value is a statistic or a parameter. A homeowner measured the voltage supplied to his home on a random sample of 48 days, and the average (mean) value is 122.9 volts. Choose the correct answer below. OA. The given value is a statistic for the year because the data collected represent a sample. OB. The given value is a parameter for the year because the data collected represent a population. OC. The given value is a parameter for the year because the data collected represent a sample. OD. The given value is a statistic for the year because the data collected represent a population.
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