Flowchart And Notes

Other (Not Listed) Instructions:

You have now documented and carried out the initial steps required to build an analytic data set. Now it is time to employ your knowledge of model building
from prior coursework and create a plan for constructing a sound, reproducible model to address the business challenge.
Incorporating feedback, as appropriate, from this course thus far and prior courses, map out the process you intend to follow for building your model, paying
particular attention to variable selection steps, tests for collinearity, and model fit testing, as appropriate to your analysis.
As in your prior assignment, you will create a flowchart to represent the necessary design steps. Additionally, include appropriate notes to capture the design and
explain the necessary details.
If you have any questions after reading through the feedback on this assignment, reach out to your instructor. Remember that your instructor is a resource you
should utilize throughout the course.
Make sure to include the following critical elements in your flowchart and notes:
Critical Elements
Indicate steps for testing collinearity and interactions
Indicate steps for identifying variables for the multivariable model
Indicate criteria for assessing model fit
Indicate steps taken for collecting and storing model output
Indicate steps for graphically representing results of model
Rubric
Guidelines for Submission: Submit your flowchart in whichever flowcharting tool you prefer (e.g., PowerPoint, Visio, Word). Include the image of the flowchart
along with the written notes as either a Microsoft Word document or a PDF.

Other (Not Listed) Sample Content Preview:

Flowchart And Notes
Name
Institution
1333500228600Testing Collinearity and Interactions: using correlation matrixes and scatter plot for the variables. The scatter plot can reveal the kind of relationship between variables.00Testing Collinearity and Interactions: using correlation matrixes and scatter plot for the variables. The scatter plot can reveal the kind of relationship between variables.4-2 Flowchart And Notes Two Assignment
38385745080Variables: 18 in total that will reduce to 6 specific variables that will have better results. The lower numer of variables makes it easier to conduct the analysis00Variables: 18 in total that will reduce to 6 specific variables that will have better results. The lower numer of variables makes it easier to conduct the analysis208597544323000
4676775262890
-28575177800Graphic results of model: regression curves and scatter plots to present the data and illustrate the findings0Graphic results of model: regression curves and scatter plots to present the data and illustrate the findings
right220980Assessting model by testing collinearity using R^2 factor0Assessting model by testing collinearity using R^2 factor
100012520700900
1943100135890Model output: Using figures and screenshots and output data from the R console00Model output: Using figures and screenshots and output data from the R console3152775193040
Figure 1: Flowchart
The business model will focus on a challenge facing a business, in this case, employee attrition. It occurs when the number of employees reduces with time due to unplanned causes such as resignation. The model used in the scenario will be the random forest model (Sheridan, 2013). The model is applicable to establish the baseline performance of the attrition data without the need for tuning measures or modifications.
The steps for testing interactions and collinearity will entail using correlation matrixes and a scatter plot that would reveal any multicollinearity with the variables under analysis. A scatter plot is used to reveal the types of relationships between the variables. If there is a linear relationship between...

Updated on January 26, 2024

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Flowchart And Notes

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