## Exam 2 Results

Exam 2 | |

Mean | 86.3 |

Standard Error | 1.3 |

Median | 88.7 |

Mode | 93.3 |

Standard Deviation | 10.7 |

Sample Variance | 114.1 |

Kurtosis | 1.7 |

Skewness | -1.3 |

Range | 51.6 |

Minimum | 48.3 |

Maximum | 99.9 |

Sum | 6129.3 |

Count | 71.0 |

Category: Teaching

- 3 weeks ago
- s19-busad360
- Justin

Exam 2 | |

Mean | 86.3 |

Standard Error | 1.3 |

Median | 88.7 |

Mode | 93.3 |

Standard Deviation | 10.7 |

Sample Variance | 114.1 |

Kurtosis | 1.7 |

Skewness | -1.3 |

Range | 51.6 |

Minimum | 48.3 |

Maximum | 99.9 |

Sum | 6129.3 |

Count | 71.0 |

I’m presenting a brief lecture today at a Cyber Security Workshop in Colorado Springs.

My presentation slides: Visualizing Cyber Security Data

Sample Resources:

- Analytics Justin Holman Pages 20190101-20190228
- Threat Intelligence-2018 IBM X-Force
- Staying Safe Online
- The 2018 Cost of a Data Breach Study by Ponemon

Issues:

- Use of color
- Data density
- Pie charts
- Bubble charts
- Map projections
- make your own maps @ https://www.mapbox.com/

- 4 weeks ago
- s19-econ320
- Justin

Review:

- South Asia geography
- Population dynamics
- India and Pakistan – Nightly Business Report

Presentation:

- China Rising – The Dramatic Rise (Part 1 of 4)
- 09:05-14:30 Empire to Communism
- 16:05-23:30 Great Leap Forward & Cultural Revolution
- 01:55-09:00 Tiananmen Square

- China – Key Events in the 20th Century
- 1949
**Mao Tse-tung’s**Chinese Communist Party (CCP) takes power.- Kuo-min Tang (KMT), led by Chiang Kai-shek, retreats to Taiwan

- 1958-1959
**Great Leap Forward**- Industrialization campaign
- Widespread famine kills up to 30 million

- 1966-1970
**Cultural Revolution**- Red Guards purge “revisionism” (Soviet) and “capitalism” (American) ideals

- 1978-1987
**One Child Policy** - 1989
**Tiananmen Square** - 1978- 1992
**Deng Xioping**- Architect of new policy combining Socialism with Market Economics
- Open Door policy allowed
**Foreign Direct Investment** - Special Economic Zones were designated
- Investment from Chinese immigrants living in Indonesia, Singapore, Malaysia and originally from South/Southeast Coastal China (many relocated during Cultural Revolution)
- Rapid GDP growth
- FDI 1980-2013

- 1949

Assignment:

- Watch To Live (recommended, not required)

- 4 weeks ago
- s19-econ320
- Justin

Review:

- Exam 2 Results
- Europe
- Brexit regret

Presentation:

- South Asia Geography:
- Front lines of climate change, rising sea levels

- Population Growth
- World Population in 2015 (Economist video)
- Population Pyramids

- India
- Population
- Economy
- Growth rate in 2018 = 7%
- “Middle Class” in India larger than the entire US Population (300M+)
- George W. Bush quote (Reuters)
- India to America: Eat Less, Fatties (Time)

- Projected to be the world’s 3rd largest economy in 10 years

- India Rising (Foreign Policy Association)

Assignment:

- Watch India Awakes (Free to Choose Media)
- Read India’s missing middle class (Economist)

- 4 weeks ago
- s19-econ320
- Justin

Mean | 84.6 |

Standard Error | 2.4 |

Median | 90.3 |

Mode | 95.2 |

Standard Deviation | 15.1 |

Sample Variance | 226.6 |

Kurtosis | 2.7 |

Skewness | -1.7 |

Range | 64.1 |

Minimum | 35.8 |

Maximum | 99.9 |

Sum | 3298.3 |

Count | 39.0 |

- 4 weeks ago
- s19-busad360
- Justin

Review:

- Dummy variables
- Exam 2 in class on Wed
- See instructions for Exam 2 Part 1

Presentation:

- Exam 2 Review Topics
- Multiple Regression
- Interpretation of Regression Output
- R^2
- Coefficients > y-hat equation
- t-statistics and associated p-values (individual variable significance)
- F-statistic and associated p-value (overall model significance)

- Multicollinearity
- Interaction Variables
- Dummy Variables
- Produce y-hat estimate given x values

Assignment:

- Complete Exam 2 Part 1
- Study for Exam 2

- 4 weeks ago
- s19-busad360
- Justin

**Exam 2 Part 1 Instructions**

For Exam 2 you will build a multiple regression model as a “take-home” project. You will use the model during the exam. The model should be complete and you should have a 1-page print-out in hand when you arrive for the exam. See below for details.

- Multiple Regression Analysis
- Select the worksheet corresponding to the last digit of your PID from this file: PuebloRealEstate_Exam2Data_ByPID
- Build a regression model to estimate selling price
- You must use 1 interaction variable
- You must use 1 or more Dummy variables

- Prepare a 1-page summary of your model, including
- Regression Output with highlights
- y-hat equation (in equation format, not just a copy of the regression output)
- Define the variables used in the model (if interaction, how is it calculated?)
- Demonstrate how to apply the model
- What “selling price” estimate would your model produce for a home in Belmont neighborhood, 3 bedroom, 2 bath, 1800 sqft

- Think of your 1-page summary as a “poster” that explains your model
- It should be clear and easy to understand
- It should provide helpful text to explain different aspects of the model

- Be prepared to answer questions about your regression model
**You will use your model during Exam 2**and then turn it in after completion of the exam- Exam is “open notes” (so bring anything useful) but you may only submit the 1-page summary (I won’t accept a stack of different model outputs)

- 1 month ago
- s19-busad360
- Justin

Review:

- Variable Selection
- Real Estate Selling Price estimates/forecasts
- Exam 2
- Part 1 – regression modeling project instructions (Mon Feb 25)
- Part 2 – in-class exam with questions about your regression model (Wed Feb 27)

Presentation:

- Applied Regression Analysis
- Dummy Variables
- incorporate categorical variables
- binary – value is either 1 or 0
- if 0, then the coefficient has no effect on y-hat
- if 1, then the coefficient is added to (or subtracted from) the estimate

- Demonstration with Sample Real Estate data
- create a dummy variable for a neighborhood

- Dummy Variables

Assignment:

- Build a regression model to estimate Real Estate selling prices
- Use this data set Pueblo RE East Side
- Create and use a dummy variable for “Belmont”
- Use your regression model to estimate selling prices for these 4 properties
- Belmont 3 BR, 2 BA, 1600 SqFt
- Belmont 4 BR, 3 BA, 2400 SqFt
- East Side 3 BR, 1 BA, 1200 SqFt
- East Side 2 BR, 1 BA, 800 SqFt

- Add results to your Portfolio
- Regression output
- y-hat equation
- 4 property Selling Price estimates

- 1 month ago
- s19-econ320
- Justin

Review:

- GDP, Poland & Turkey, Brexit Preview
- Exam 1 corrections

Presentation:

- Brexit discussion
- Inside Brexit: How Britain lost Europe (Financial Times)
- British Parliament Debate

Exam 2 Review Topics:

- European Geography
- WWII + post-war order
- Advanced Manufacturing in Germany
- European Union
- Sovereign Debt Crisis
- Putin’s Russia
- Poland & Turkey
- Brexit

Assignment:

- Study for Exam 2

- 1 month ago
- s19-busad360
- Justin

Review:

- Exam 1 Retake
- Results
- Grading

- Multiple Regression Variable Selection
- Missing links on forward/backward selection replaced. Read this: Variable Selection
- DataCamp Invite Link

Presentation:

- Go through modeling process with 2013 MLB Team statistics data
- Applied Regression Analysis
**Interaction Variables**- combine separate variables mathematically
- add, multiply, etc
- another way to avoid problems with multicollinearity

- Demonstration with Sample Real Estate data
- Estimate selling price for a 1500 sqft, 3 bd, 2 ba home

Assignment:

- Build a regression model to estimate Real Estate selling prices
- Use this data set Pueblo RE East Side
- Use an interaction variable to avoid multicollinearity
- Use your regression model to estimate selling prices for these 4 properties
- Belmont 3 BR, 2 BA, 1600 SqFt
- Belmont 4 BR, 3 BA, 2400 SqFt
- East Side 3 BR, 1 BA, 1200 SqFt
- East Side 2 BR, 1 BA, 800 SqFt

- Add results to your Portfolio
- Regression output
- y-hat equation
- 4 property Selling Price estimates