Not logged in
Talk
Contributions
Create account
Log in
Navigation
Main page
About
People
Publications
Teaching
Resources
Research Blog
Wiki Functions
Recent changes
Help
Licensing
Page
Discussion
Edit
View history
Editing
Statistics and Statistical Programming (Winter 2017)/Problem Set: Week 7
(section)
From CommunityData
Jump to:
navigation
,
search
Warning:
You are not logged in. Your IP address will be publicly visible if you make any edits. If you
log in
or
create an account
, your edits will be attributed to your username, along with other benefits.
Anti-spam check. Do
not
fill this in!
== Empirical Paper Questions == These questions are about the [http://dx.doi.org/10.1145/985692.985761 Lampe and Resnick] paper which is a very highly cited paper in my area of research. For this week, we'll focus on the correlation table (Table 3) and the regression table in Table 5. We'll come back to the logistic regression next week. : '''Q6.''' Be ready to explain Table 3. In particular, be ready to talk about the bivariate relationships between Final score all of the other variables in the model. Be ready to talk about the correlation both in quantitative and in substantive terms. : '''Q7.''' Do you think that the assumptions that underly the linear regression model reported in Table 5 hold? If you can't decide, what information might you like to have seen provided to help you? : '''Q8.''' Be ready to explain what Table 5 means in both statistical and substantive terms. In particular, be ready to interpret the coefficients in substantive terms and be ready to explain what the t-statistics, <math>R^2</math>, and p-values mean. Be ready to provide an sentence for each that interprets each number in the table in substantive terms. This will mean understanding what every variable actually measures.
Summary:
Please note that all contributions to CommunityData are considered to be released under the Attribution-Share Alike 3.0 Unported (see
CommunityData:Copyrights
for details). If you do not want your writing to be edited mercilessly and redistributed at will, then do not submit it here.
You are also promising us that you wrote this yourself, or copied it from a public domain or similar free resource.
Do not submit copyrighted work without permission!
To protect the wiki against automated edit spam, we kindly ask you to solve the following CAPTCHA:
Cancel
Editing help
(opens in new window)
Tools
What links here
Related changes
Special pages
Page information