Need help with the following Stat questions, thank you! Consider the multiple regression output shown:The regression equation isY = 43.4 6.82X1 + 1.48X2 + 1.43X3 + 0.458X4.Predicted response: iPredictorResidual: iConstantX1X2X3X4SourceCoef SE Coef TTotalRound your answers to one decimal place.43.39Analysis of VarianceRegressionResidual Error-6.821 1.0591.483 1.037S = 2.04939 R - Sq = 99.8% R - Sq (adj) = 99.6%18.78 2.31 0.0601.4253 0.5036 2.83 0.0300.4576 0.1520 3.01 0.024DF SS6P-6.44 0.0011.43 0.20225.210 10869.2MS4 10844.0 2711.0 650.66 0.0004.2FOne case in the sample has Y = 14, X1 = 9, X2 = 7, X3 = 2, and X4 = 48. What is the predicted response for this case? What isthe residual?P Consider the multiple regression output shown:00000The regression equation isY = 60+ 4.85X10.09X2 + 6.42X3 + 1.65X4 - 1.16X5.O X1X2UX3OX4O X5PredictorConstantX1X2X3X4X5Coef SE Coef TTotal-60.2 105.6 -0.57 0.5754.851RegressionResidual Error-0.0930.443 -0.21 0.8332.412 2.66 0.0191.6511 0.5431 3.04 0.0096.415Analysis of VarianceSource-1.1623 0.7907 -1.47 0.163S = 32.33309 R - Sq = 77.9% R - Sq (adj) = 70.0%2.299 2.11 0.053DF SSP5 51590Select all of the variables which are significant at the 1% level.19 6622614 14636 1045.4MS F P10318 9.87 0.000

The multiple regression equation is, Y = 43.4 – 6.82X1 + 1.48X2 + 1.43X3 + 0.458X4.

Answered: Consider the multiple regression output…

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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Boand The Calege Entrance Examination Board was not involved in the production of this material Used with permission Copynight 2010 National Math Science Intative, Dalas, Texas. All rights reserved. Visit us online at www.nms.org. AP is a trademark of the College Entrance Ex atistics StatCorp Exploration Below are the monthly salaries for all 16 employees of the StatCorp Data Analysis Corporation. Answer the questions that follow by yourself or with a partner. Monthly salaries: 6,350 6,125 6,500 2,800 12,800 7,500 5,859 7,400 5,760 7,350 7,250 6,000 2,500 2,500 5,230 5,100 1. Find the mean, median., and standard deviation of employee's salaries. mean = median = standard deviation = 2. Business has been good, so every emplovee receives a raise of $1,000. What will happen to the mean, median, and standard deviation? The mean will The median will The standard deviation will Check yourself: median = standard deviation = mean = 3. Business has not been good. Suppose that we must cut…
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