Data Analytics

Anonymous
timer Asked: Nov 15th, 2016

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.

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