QuickHelper

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About QuickHelper

Levels Tought:
Elementary,High School,College,University,PHD

Expertise:
Accounting,Applied Sciences See all
Accounting,Applied Sciences,Business & Finance,Chemistry,Engineering,Health & Medical Hide all
Teaching Since: May 2017
Last Sign in: 353 Weeks Ago, 4 Days Ago
Questions Answered: 20103
Tutorials Posted: 20155

Education

  • MBA, PHD
    Phoniex
    Jul-2007 - Jun-2012

Experience

  • Corportae Manager
    ChevronTexaco Corporation
    Feb-2009 - Nov-2016

Category > Business & Finance Posted 26 May 2017 My Price 15.00

Data Analytics

Question description

 

Part I - Continuous Variable

  1. Identify a data set with continuous variables. You are welcome to reuse a previous dataset but must analyze a different model. The sample size must be greater than 35 data points.
  2. Clean and organize the data set.
  3. Compute descriptive analysis - show the median, mean and mode (sort the data set in ascending order).
  4. Compute correlation scores and highlight the significant values (> 0.40).
  5. Present a visual model showing the cause and effect relationship.
  6. Test for multiple regression models (simple, quadratic, polynomial)
  7. Identify the best model - all coefficients must be significant, that is, p-values must be less than 0.05
  8. Interpret the regression equation - show the difference between the predicted and actual values.

Part II - Dichotomous variable

  1. Identify a data set with at least one categorical variable. You are welcome to reuse a previous dataset but must analyze a different model. The sample size must be greater than 35 data points.
  2. Clean and organize the data set.
  3. Compute the dummy variable, explain the coding criteria.
  4. Compute correlation scores and highlight the significant values (> 0.40).
  5. Present a visual model showing the cause and effect relationship.
  6. Test for multiple regression models (simple,interactions)
  7. Identify the best model - all coefficients must be significant, that is, p-values must be less than 0.05
  8. Interpret the regression equation - show the difference between the predicted and actual values.

You will do the presentation using Microsoft Excel make sure the graphs and findings are clearly organized.

Answers

(10)
Status NEW Posted 26 May 2017 03:05 PM My Price 15.00

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