Publications by Joseph Johnson
Document
About This project will explore the concepts of simple linear regression, multiple linear regression and finding the optimum solution with possible business limitations. Setup Remember to always set your working directory to the source file location. Go to ‘Session’, scroll down to ‘Set Working Directory’, and click ‘To Source File Loc...
5476 sym R (9306 sym/50 pcs) 2 img
Lab Project 1 redux
About Qualitative Descriptive Analytics aims to gather an in-depth understanding of the underlying reasons and motivations for an event or observation. It is typically represented with visuals or charts. Quantitative Descriptive Analytics focuses on investigating a phenomenon via statistical, mathematical, and computationaly techniques. It aims t...
3364 sym R (2567 sym/45 pcs) 1 img
Lab Project 1
About Qualitative Descriptive Analytics aims to gather an in-depth understanding of the underlying reasons and motivations for an event or observation. It is typically represented with visuals or charts. Quantitative Descriptive Analytics focuses on investigating a phenomenon via statistical, mathematical, and computationaly techniques. It aims t...
3364 sym R (2567 sym/45 pcs) 1 img
Lab 3
About This worksheet includes basic steps to compute a simple signal-to-noise ratio. Setup Remember to always set your working directory to the source file location. Go to ‘Session’, scroll down to ‘Set Working Directory’, and click ‘To Source File Location’. Read carefully the below and follow the instructions to complete the tasks ...
1844 sym R (2195 sym/18 pcs)
Lab 4
About The focus of this lab is on data outliers, data preparation, and data modeling. This lab requires the use of Microsoft Excel, R, and ERDplus. Setup Remember to always set your working directory to the source file location. Go to ‘Session’, scroll down to ‘Set Working Directory’, and click ‘To Source File Location’. Read careful...
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Lab week 7
About In this lab, we will focus on linear programming and non-linear regression modeling. Linear regression modeling, as discussed in the previous lab, works with simple and multiple linear regression models. Sometimes the relationships are not best represented by linear models, and a non-linear regression modeling is required. The general conce...
5026 sym R (5870 sym/24 pcs) 3 img