DSCI 352: Regression Model - Linear Regression Model - IT Assignment Help

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Assignment Task:

Assume you own a software company. When you bring on new employees your hiring process is

1) to give them a technical aptitude test,

2) bring them in for an interview (conducted by a team of three hiring managers), and if preliminarily hired,

3) put them through a 6-week training course.

At the end of the course, you have the option to let the employee go with no further costs or keep them on board. You keep a record of all your employees, including their interview score (an average score from 1-5 based on three hiring manager’s input from the interview), their aptitude test score, the number of training classes they missed, and their annual performance score. These records are found in the included file “employee-perf.csv”. You are hiring and want to identify good candidates before having to keep them on the payroll for a full year (in order to get a performance review). 

To begin, first set your working directory to where your “employee-perf.csv” is located and read in the data into a variable called employee.dat by executing the following command: 

> employee.dat <- read.csv("employee-perf.csv") 

1. Using the data in employee.dat, construct a linear regression model to predict the Annual Performance Rating from all other relevant variables. DO NOT use any variable selection methods such as stepwise selection, etc. 

1) Place your regression model into a variable called employee.mod. 

2) You may or may not need to leave out certain variables (i.e. columns) that are irrelevant. (This does not mean you need to find the best combination of variables, only that some columns may clearly be irrelevant). 

3) In your model, make sure to list any variables (columns) in the same order they appear in the spreadsheet. Also, don't forget to replace spaces ' ' with dots '.' when specifying the variables in your model (i.e. Interview Score becomes Interview.Score). 

4) Please use either NO SPACES OR CONSISTENT SPACING. If you use spaces, make sure to use no more than one space between characters. 

Please copy and paste your R command to build the model and assign it to employee.mod below (this should be a single line of R code using the lm function). 

 

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