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Team assignment 2017/2018 - 9.6

3 reviews
 787 views  24 purchases
  • Course
  • Tilburg University - Statistiek voor Premaster
  • Institution
  • Tilburg University (UVT)
  • Book
  • Statistical Methods for Business and Economics

Team assignment 2017/2018 for the course: statistics for premaster / statistics for Pre-master. The course is often the same each year. The assignment description is pre-entered in the document. The assignment has been assessed with a 9.6;)

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Document information

  • December 11, 2017
  • 23
  • 2017/2018
  • Essay
  • Unknown
  • Unknown

Subjects

  • statistics
  • team assignment
  • premaster
  • tisem
  • marketing
  • supply chain
  • ta

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Written for

  • Tilburg University (UVT)
  • Premaster Supply Chain Management
  • Tilburg University - Statistiek voor Premaster
All documents for this subject (3)

3  reviews

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By: Basbijvoet8 • 6 year ago

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By: Marketeer • 6 year ago

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By: sander7127 • 6 year ago

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Very good

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Content preview

Team assignment 2017-2018 Blackboard




1

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,Team Assignment
Statistics for Pre-Master




Name ANR SNR


Team assignment
Statistics for Pre-Master
Sample 4
17-11-2017




6

, Table of contents
Section 1 – Introduction....................................................................................................................8
Section 2 – List of variables..............................................................................................................9
Section 3 – Sample proportions.....................................................................................................10
Section 4 – Regression analysis....................................................................................................12
Section 5 – Linear regression with non-dummy independent variables.........................................15
Section 6 – Multiple linear regression models................................................................................17
Section 7 – Simple and multiple linear regression model with dummy variables...........................20
Section 8 – The best regression model..........................................................................................21




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