Alpha Geek

(8)

$10/per page/Negotiable

About Alpha Geek

Levels Tought:
University

Expertise:
Accounting,Algebra See all
Accounting,Algebra,Architecture and Design,Art & Design,Biology,Business & Finance,Calculus,Chemistry,Communications,Computer Science,Environmental science,Essay writing,Programming,Social Science,Statistics Hide all
Teaching Since: Apr 2017
Last Sign in: 438 Weeks Ago, 3 Days Ago
Questions Answered: 9562
Tutorials Posted: 9559

Education

  • bachelor in business administration
    Polytechnic State University Sanluis
    Jan-2006 - Nov-2010

  • CPA
    Polytechnic State University
    Jan-2012 - Nov-2016

Experience

  • Professor
    Harvard Square Academy (HS2)
    Mar-2012 - Present

Category > Business & Finance Posted 27 May 2017 My Price 15.00

The personnel director for a small manufacturing company has collected the data f

 

The personnel director for a small manufacturing company has collected the data found in the file Dat9-21.xlsx that accompanies this book describing the salary (Y) earned by each machinist in the factory along with the average performance rating (X1) over the past three years, the years of service (X2), and the number of different machines each employee is certified to operate (X3). The personnel director wants to build a regression model to estimate the average salary an employee should expect to receive based on his or her performance, years of service, and certifications.

a. Prepare three scatter plots showing the relationship between the salaries and each of the independent variables. What sort of relationship does each plot suggest?

b. If the personnel director wanted to build a regression model using only one independent variable to predict the salaries, what variable should be used?

c. If the personnel director wanted to build a regression model using only two independent variables to predict the salaries, what two variables should be used?

d. Compare the adjusted-R2 statistics obtained in parts b and c with that of a regression model using all three independent variables. Which model would you recommend the personnel director use?

e. Suppose the personnel director chooses to use the regression function with all three independent variables. What is the estimated regression function?

f. Suppose the company considers an employee’s salary to be “fair” if it is within 1.5 standard errors of the value estimated by the regression function in part e. What salary range would be appropriate for an employee with 12 years of service, who has received average reviews of 4.5, and is certified to operate 4 pieces of machinery?

 

 
 

Answers

Alpha Geek
(8)
Status NEW Posted 27 May 2017 03:05 PM My Price 15.00

-----------

Attachments

file 1495899832-Answer.docx preview (342 words )
T-----------he -----------per-----------son-----------nel----------- di-----------rec-----------tor----------- fo-----------r a----------- sm-----------all----------- ma-----------nuf-----------act-----------uri-----------ng -----------com-----------pan-----------y h-----------as -----------col-----------lec-----------ted----------- th-----------e d-----------ata----------- fo-----------und----------- in----------- th-----------e f-----------ile----------- Da-----------t9------------21.-----------xls-----------x t-----------hat----------- ac-----------com-----------pan-----------ies----------- th-----------is -----------boo-----------k d-----------esc-----------rib-----------ing----------- th-----------e s-----------ala-----------ry -----------(Y)----------- ea-----------rne-----------d b-----------y e-----------ach----------- ma-----------chi-----------nis-----------t i-----------n t-----------he -----------fac-----------tor-----------y a-----------lon-----------g w-----------ith----------- th-----------e a-----------ver-----------age----------- pe-----------rfo-----------rma-----------nce----------- ra-----------tin-----------g (-----------X1)----------- ov-----------er -----------the----------- pa-----------st -----------thr-----------ee -----------yea-----------rs,----------- th-----------e y-----------ear-----------s o-----------f s-----------erv-----------ice----------- (X-----------2),----------- an-----------d t-----------he -----------num-----------ber----------- of----------- di-----------ffe-----------ren-----------t m-----------ach-----------ine-----------s e-----------ach----------- em-----------plo-----------yee----------- is----------- ce-----------rti-----------fie-----------d t-----------o o-----------per-----------ate----------- (X-----------3).----------- Th-----------e p-----------ers-----------onn-----------el -----------dir-----------ect-----------or -----------wan-----------ts -----------to -----------bui-----------ld -----------a r-----------egr-----------ess-----------ion-----------
Not Rated(0)