The following table shows regression analysis output between the experience (in years) and monthlysalaries (in RM thousands) of nine randomly selected secretaries. Answer the following questionsModel SummaryR SquareAdjusted RSquareStd. Error of theEstimateModelR0.928a. Predictors: (Constant), Experience in years10.8620.8425.916CoefficientsUnstandardizedStandardizedCoefficientsCoefficientsModelStd. ErrorBetaP-Value(Constant)Experience in yearsa. Dependent Variable: Monthly Salary125.5543.8286.6750.0012.4380.3690.9286.6040.001i. Comment on the strength and direction of the relationship between Monthly salary and Years ofexperience for the secretaries.ii. Determine the coefficient of determination and explain this value in relation to the problem.iii. At the 0.05 significance level is it reasonable to conclude that there is a significant relationship in thepopulation between Monthly salary and Years of experience.iv. What is the value of Y-intercept? Interpret the meaning of the Y- intercept, a for this problem.v. What is the value of the slope? Interpret the meaning of the slope, b for this problem.vi. Write the regression equation for this problem from the outputvii. Predict the Monthly salary if a secretary has Years of experience of 13 years.

Answered: Coefficients Unstandardized…

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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Item9 eBook Item 9 The following regression output was obtained from a study of architectural firms. The dependent variable is the total amount of fees in millions of dollars. Predictor Coefficient SE Coefficient t p-value Constant 9.601 3.153 3.045 0.010 x1 0.221 0.110 2.009 0.000 x2 − 1.168 0.577 − 2.024 0.028 x3 − 0.106 0.073 − 1.452 0.114 x4 0.631 0.361 1.748 0.001 x5 − 0.043 0.029 − 1.483 0.112 Analysis of Variance Source DF SS MS F p-value Regression 5 1,844.31 368.9 9.37 0.000 Residual Error 56 2,205.62 39.39 Total 61 4,049.93 x1 is the number of architects employed by the company. x2 is the number of engineers employed by the company. x3 is the number of years involved with health care projects. x4 is the number of states in which the firm operates. x5 is the percent of the firm’s work that is health…

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