Lesson 1: Introduction to Advanced Statistics
January 13, 2017
Tue, Jan 17
Presentation:
- Attendance
- Intro to Advanced Statistics
- Course Syllabus (PDF): S17-Syllabus-BUSAD360-AdvStats-Holman
- Here’s the format my syllabus is supposed to be in: appendix-b-syllabus-template
- Progression
- By hand
- Google Sheets
- Google Sheets + XL Miner Add-On
- Python (maybe)
- Resources
- Textbook link to purchase on Amazon
- Google Sheets
- Follow me on Twitter and use #PuebloStats
- Linear Regression
- Find a line of best fit for a set of points
- Least Squares Regression Proof: MethodLeastSquares
- Example: Beer Party
- Use temperature to predict 12-packs consumed
- Data from previous parties (Temp degrees F, 12-packs consumed)
- Party 1: 60°, 10 12-packs
- Party 2: 70°, 12 12-packs
- Party 3: 80°, 20 12-packs
- Party 4: 90°, 40 12-packs
- Scatter Plot
- Table setup
- Sum of Squares calculations
- SSxx = ∑x² – (∑x)²/n
- SSyy = ∑y² – (∑y)²/n
- SSxy = ∑xy – (∑x*∑y)/n
- Demonstrate Calculations
- Beer party data: {(60,10), (70,12), (80,20), (90,40)}
- Another example: {(2,3), (4,6), (7,9), (11,12)}
Activity:
- Calculate Sum of Squares (SSxx, SSyy, SSxy)
- Data set 1: {(3,5), (5,8), (8,11), (12,10)}
- Data set 2: {(50,12), (60,15), (70,20), (80,30)}