Category: busad265
Tutoring now available on Thursdays 5pm to 6:30pm in HSB 113.
Lauren Shand will be providing the tutoring session. The first session was yesterday (but I hadn’t yet met with or heard from Lauren so wasn’t sure if it would proceed as planned). This would be a good option for those who are needing extra assistance with some of the concepts we are covering in class.
Due Tue Oct 1, 2013
Produce scatter plot with trend line and Pearson Correlation Coefficient as described in the slides that I presented in class.
Click here to download the slides I presented today in class: BUSAD265-SEP26
Link to video walking you through the process of conducting a simple correlation analysis (and completing Exercise #6): http://m.youtube.com/watch?v=ttzL0xFfqmY
I have created a set of Neighborhood Maps. Click on the links below to see a more detailed image of each neighborhood.
Note: this is not required reading and you will not be tested on the content.
I think Nate Silver would approve of the Pueblo Real Estate Value Modeling project as a useful framework for learning regression modeling and inferential statistics. Check it out if interested:
You can also use Zillow or Trulia (or others) to identify and enter a set of addresses. These sites will not have all the variables in the template but it might be easier to identify your set of address locations on one of these sites and then find the additional details from the County website later. Here are some links:
NEW: I recorded a screen capture video that might help you use Zillow as a short-cut to the county property database. Click here to see the video.
Is this helpful? Let me know in the comments section.
http://www.co.pueblo.co.us/cgi-bin/webatrbroker.wsc/savesession.p?dept=404100
Excel template for data entry: http://busad265.wordpress.com/?attachment_id=168
When entering the data variables for your 30 selected properties, please note the following:
1. Only include Single Family residential homes. Do NOT include mobile homes, duplexes, multi-family residential (4-plex, apartment building, etc), commercial properties (retail, office, medical, industrial, etc.), non-profit buildings (e.g., schools, churches) or publicly owned property (e.g., government buildings, parks). If in doubt, use Google Maps Street View (or similar) to try to determine whether the property appears to be a single family home.
2. If you can not determine one of the variables then enter 0 (if the variable is numeric, like square footage or number of rooms) or enter NA (if the variable is text, like Style or Construction).
3. Try to spread out your selection of properties so that they’re not too clustered in one location within the neighborhood. For some neighborhoods this may not be possible. Just do the best you can.
4. Try to select properties with different values. In most neighborhoods there will be expensive properties and inexpensive properties. Get some of each. This will help you later when you want your model to have the flexibility to determine approximate home values for various home types.
5. Be sure to save a copy of your 30 property data records! Even if you have uploaded the data to the Google Drive spreadsheet please save your 30 properties locally or in your own cloud folder location as a back up. We don’t want to repeat work if Google Drive doesn’t work well for so many shared users. Click here for an Excel template.
See attached PowerPoint or PDF file with highlights of material we will cover today in class.
BUSAD265-SEP24 (pptx format)
BUSAD265-SEP24 (PDF format)
In response to several students who didn’t feel they had sufficient time to complete the exam, I am considering the possibility of an extra credit opportunity of some sort.
Please feel free to post suggestions here or send them to me via email.
Due Tuesday, September 24th
Textbook Reading: Ch 4, p 98-106
Web Resource: http://learnandteachstatistics.wordpress.com/2012/11/05/probability/
YouTube Video (Khan Academy): http://youtu.be/uzkc-qNVoOk