Category: f14-busad360

Final Exam Results

All Final Exams have been graded and recorded. Please contact me or Becky via email if you’d like to know your result.

Don’t forget to submit projects this week – worth 10% of your grade. I will have final grades available on Monday afternoon if you can’t stand the suspense.

Good luck with the rest of finals and enjoy your winter break!

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Lesson 19

Thu, Nov 20

Topics:

Also, please help my BUSAD 265 students complete surveys for their final project.

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Survey Central

Dear Statistics Students,

Please use the “Leave a Reply” section below to Post a Comment including a link to your on-line surveys. Please also participate and help your fellow students by completing as many surveys as possible.

To help encourage participation I will make survey participation part of the Final Project grade. More survey responses will result in a higher “participation” grade. This should encourage you to take other student surveys and then ask them to reciprocate (that means do the same for you).

For students not using survey data, please consider helping students with surveys improve their participation scores in exchange for good karma. What reward could be better?

Thanks,

JH

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Lesson 18

Tue, Nov 18

Topics:

  • Final Project – select a Pueblo neighborhood or a separate market (e.g., Colorado Springs, Denver, Canon City, Trinidad, etc).
  • Blog Grading – All Assignments by Friday (11/21)
    • Lesson 11 (Problems 15.2, 15.4 on p.607)
    • Lesson 12 (Problem 15.8 on p. 617 and Problem 15.12 on p.624)
    • Lesson 13 (Pueblo Voter Turnout)
    • Lesson 14 (US Senate Forecasts)
    • Lesson 15 (Problems 13.2, 13.6)
    • Lesson 16 (Multiple Regression Problems 1-4 on p. 549)
    • Lesson 17 (Multiple Regression with Indicator Variables)
  • Final Exam Part 1 (Take Home, due in class Dec 4th): BUSAD 360 Final Exam Part 1
  • Data for Part 1: PuebloRESales2014Q1Q2
  • Final Exam Part 2 (In Class) on Dec 4th
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Final Project

  • Final Project Description
    • Develop a Real Estate Sales Forecasting Regression Model
    • Prepare a 6-slide Power Point Presentation
      • Slide 1: Market and Data Sources
      • Slide 2: Sample Data Set
      • Slide 3: Regression Analysis – Model Runs, Variable Selection
      • Slide 4: Presentation and Description of Final Model
      • Slide 5: Significance Testing and Residual Analysis
      • Slide 6: Model Application (e.g., specific sales forecasts)
    • Printed copy must be submitted (200 HSB) by 5 pm, December 11th
    • Post link to PPT file download on blog
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Lesson 17

Tue, Nov 11

Review:

Presentation:

Assignment:

  • Use the Manufacturing data (from Problem 1 on p. 549)
    • Create indicator variables using the “Value of Indus. Shipmnts” field, coded from 1 to 4.
    • Rerun your regression model including the Indicator variables.
    • Post regression output to your blog and comment on the impact of the Indicator variables.
  • Use the Annual Food Spending data (from Problem 4 on p. 549)
    • Create indicator variables using the “Region” and “Location” fields
    • Rerun your regression model including the Indicator variables.
    • Post regression output to your blog and comment on the impact of the Indicator variables.

Reading:

  • Ch 14 p. 566-569 Indicator (Dummy) Variables
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