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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.About pictures
I decided to start using other peoples' pictures of cats for my blogs for a variety of reasons. It's hard enough for me to get a good picture of my cats let alone one that might go with what I'm writing. I also thought it would improve my blogs by having a much greater variety of images to choose from. I understand enough about creativity and art and photography to know they are both a talent and a skill that should be recognized. I want to give proper attribution to the creators of the images I use in my blogs, but there is a problem. Virtually every image I want to use appears in more than one place on the Internet. I thought using tineye.com, a search site for finding URLs of uploaded images, would help. In fact, I found the opposite. Some of the images I've searched for are found on a hundred different sites, making it impossible to identify the original. So, if I can't identify the original, I'll cite the site I got the image from or if it's an image I don't have a URL for, I'll cite the site that tineye.com indicates has the image that most closely matches the image I use. If I use an image that you created and I didn’t give you credit, I'm sorry. Let me know and I’ll fix the citation or remove the image.
Tag Archives: dependent variable
Regression Fantasies: Part III
Is Your Regression Model Telling the Truth? There are many technologies we use in our lives without really understanding how they work. Television. Computers. Cell phones. Microwave ovens. Cars. Even many things about the human body are not well understood. … Continue reading
Regression Fantasies: Part II
Six More Reasons for Doubting a Regression Model There are more than a few reasons for being skeptical about a regression model. Some are easy to identify, others are more subtle. Here are six more reasons you might doubt the … Continue reading
Posted in Uncategorized
Tagged autocorrelation, cats, dependent variable, heteroscedasticity, model, multicollinarity, overfitting, regression, variance, weighting
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Regression Fantasies: Part I
Five 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. … Continue reading
A Picture Worth 140,000 Words
Even if it’s been a while since your last statistics class, when you read Stats with Cats: The Domesticated Guide to Statistics, Models, Graphs, and Other Breeds of Data Analysis you’ll figure out that there’s much more to data analysis … Continue reading
Grasping at Flaws
Even if you’re not a statistician, you may one day find yourself in the position of reviewing a statistical analysis that was done by someone else. It may be an associate, someone who works for you, or even a competitor. … Continue reading
Posted in Uncategorized
Tagged cats, correlation coefficient, criticism, dependent variable, jargon, math, mean, Normal distribution, number of samples, objectives, population, precision, probability, rule of thumb, sample size, samples, software, statistical analysis, statistical tests, statistics, stats with cats, uncertainty, variability
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The Santa Claus Strategy
I’m working all out Deadline is near Model’s in doubt Dooming my career. Sta-tis-tics will chill my meltdown. I’m adding new vars Testing them twice Trying to find out which ones’ll suffice Sta-tis-tics will give the lowdown. I see the … Continue reading
Posted in Uncategorized
Tagged cats, dependent variable, measurement, measurement scales, model, objectives, statistical analysis, statistics, stats with cats
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You’re Off to Be a Wizard
The process of developing a statistical model (http://statswithcats.wordpress.com/2010/12/04/many-paths-lead-to-models/) involves finding the mathematical equation of a line, curve, or other pattern that faithfully represents the data with the least amount of error (i.e., variability). Variability and pattern are the yin and … Continue reading
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Tagged AIC, BIC, cats, coeffiient of determination, Cook’s Distance, dependent variable, DFBETAs, F-test, jargon, model, multicollinearity, Normal distribution, probability, regression coefficients, residuals, standard error of estimate, statistical analysis, statistical leverage, statistical tests, statistics, stats with cats, t-test, trend, uncertainty, variability, variance inflation factor
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The Seeds of a Model
Perhaps the most complicated and time-consuming aspect of model building is selecting the components of your model—the variables, the samples, and the data (http://statswithcats.wordpress.com/2010/12/04/many-paths-lead-to-models/). Here are a few tips for collecting the seeds of your model. Models Revisited Here’s a … Continue reading
