Regression is a set of statistical techniques for relating a dependent variable to one or more independent variables. Briefly, a dependent variable (sometimes called an outcome variable) is one that you think is related to the independent variables. Although regression can’t prove causation, you usually think that the relationship goes from the independent variable(s) and to the dependent variable. (I will discuss the distinction in another post).
What are sensitivity and specificity?
Sensitivity and specificity are measures of the effectiveness of a diagnostic test. Most often they are used as part of medical research when doctors (or others) try to determine if a patient has a disease or not. This leads to four possible results: Read more!
So, you’ve got to read a statistics book. Maybe you’re taking a statistics course, or maybe you are working on some research and need to learn something about statistics. And the text isn’t something with a bright colored cover and a title like “Statistics for Dummies who think they don’t like statistics: The cartoon version”. No, it’s a text. And it hasn’t got a lot of fancy sidebars and things. And it’s got formulas. And you don’t like formulas.
What to do?
When learning statistics, you may learn about ANOVA (analysis of variance), ANCOVA (analysis of covariance) and ordinary least squares regression. The way these are taught in many fields leaves many people confused. Indeed, many people do not realize these are all the same model. Read more!