IS3310 Troy University Data Analytics Memo

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Mathematics

IS3310

Troy University

Description

I will give a summary data dox, answer the questions by analysis the dox

analysis linear regression dox and answer the memo dox

DAX 6 Explained and Instructions

Use the Labor file to answer a research question as we discussed in the DAX 6 video. "Does the organization discriminate by gender or height for position 1 and 2 employees?"

In this exercise, students provide a business decision recommendation using SAS and Excel. The student will create a summary report of their analysis and create an informative graphic. Finally, the students will prepare and submit a business memorandum that provides a recommendation based on their analysis of the data set that includes an analysis of different courses of action using weighted factors.

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Thursday, October 17, 2019 10:44:57 AM 1 Data Set IRP.DAX6FIL Dependent Variable $/H Selection Method None Number of Observations Read 374 Number of Observations Used 374 Class Level Information Class Levels Values Position 2 12 Gender 2 FM Dimensions Number of Effects 6 Number of Parameters 8 Thursday, October 17, 2019 10:44:57 AM 2 Least Squares Summary Effect Step Entered Number Number Effects In Parms In SBC 0 Intercept 1 1 1044.3962 1 Performance Review 2 2 839.4883 2 Years of Employment 3 3 764.3829 3 Height 4 4 770.1694 4 Position 5 5 158.8211* 5 Gender 6 6 * Optimal Value of Criterion 164.6613 Thursday, October 17, 2019 10:44:57 AM 3 Least Squares Model (No Selection) Analysis of Variance Source Model Error Sum of Squares DF Mean Square F Value Pr > F 5 5480.22513 1096.04503 368 528.20535 763.61 |t| Intercept 1 20.058515 0.876749 22.88
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Explanation & Answer

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27 October 2018
MEMO
From: Yihan Wang
To:

Professor Benjamin Larson

Subj: Analysis of whether the organization discriminates by gender or height for position 1 and
2 employees?

There are concerns that the organization has been paying employees for position one and
position two discriminatively. The parameters suspected to be used in this discriminative pay are
height and gender. Using the data gotten from DAX 6, this analysis will focus on answering our...


Anonymous
Really helpful material, saved me a great deal of time.

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