DISCLAIMER
The postings on this blog are my own (except as noted) and do not necessarily represent the positions, strategies or opinions of my current, past, and future employers, cats and other family members, relatives, Facebook friends, real friends, Charlie Sheen, people who sit next to me on public transportation, or myself when I’m in my right mind.-
Recent Posts
Archives
- April 2023
- February 2022
- November 2020
- October 2020
- September 2020
- August 2020
- July 2020
- May 2020
- January 2019
- December 2018
- October 2018
- September 2018
- November 2017
- September 2017
- May 2017
- February 2017
- January 2017
- December 2016
- September 2016
- August 2016
- July 2016
- June 2016
- January 2016
- July 2015
- February 2015
- January 2015
- December 2014
- November 2014
- October 2014
- January 2014
- September 2013
- May 2013
- April 2013
- February 2013
- August 2012
- July 2012
- June 2012
- February 2012
- May 2011
- April 2011
- March 2011
- February 2011
- January 2011
- December 2010
- November 2010
- October 2010
- September 2010
- August 2010
- July 2010
- June 2010
- May 2010
RSS Links
Feedburner
-
Blogroll
Recent Posts from: Random TerraBytes
Meta
Tag Archives: outliers
35 Ways Data Go Bad
When you take your first statistics class, your professor will be a kind person who cares about your mental well-being. OK, maybe not, but what the professor won’t do is give you real-world data sets. The data may represent things … Continue reading
What to Look for in Data – Part 2
What to Look for in Data – Part 1 discusses how to explore data snapshots, population characteristics, and changes. Part 2 looks at how to explore patterns, trends, and anomalies. There are many different types of patterns, trends, and anomalies, … Continue reading
Posted in Uncategorized
Tagged cats, censored data, curvilinear, cycles, data relationships, graphs, heteroskedasticity, homoskedasticity, interpolation, linear, outliers, shifts, shocks, simpson's paradox, statistics, stats wit cats, steps, time series, transformations, what to look for
Leave a comment
Regression Fantasies
Common Reasons for Doubting a Regression Model Finding a model that fits a set of data is one of the most common goals in data analysis. Least squares regression is the most commonly used tool for achieving this goal. It’s … Continue reading
Posted in Uncategorized
Tagged accuracy, autocorrelation, correlation coefficient, dependent variable, heteroscedasticity, intercept, misspecification, model, multicollinearity, Non-linear relationships, number of samples, outliers, overfitting, precision, regression, sample size, samples, software, standardization, statistical analysis, statistical tests, statistics, stats with cats, stepwise regression, trend, variability, variance
13 Comments
Secrets of Good Correlations
If you’ve ever seen a correlation coefficient, you’ve probably looked at the number and wondered, is that good? Is a correlation of -0.73 good but not a correlation of +0.58? Just what is a good correlation and what makes a … Continue reading
Posted in Uncategorized
Tagged cats, coefficient of determination, correlation coefficient, measurement scales, multiple correlation, number of samples, objectives, outliers, partial correlation, R-square, sample size, shrunken correlation, software, statistical analysis, statistical tests, statistics, stats with cats, trend, variance
36 Comments
Stats With Cats Blog 