Continuous variable - one which theoretically can assume an infinite number of values between any two points on the scale. A categorical variable is a discrete variable. Think of it as a grouping variable. We tend to think of some constructs as being inherently categorical.
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Feb 01, 2018 · •Bivariate Analysis of two categorical Variables (Categorical-Categorical) •Bivariate Analysis of one numerical and one categorical variable (Numerical-Categorical) Numerical-Numerical. Inferential Statistics such as Correlation Coefficient can be used to explore two numerical variables. Visualisation techniques such as Scatterplot can be used.
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Jul 11, 2008 · From the menu at the top of the screen, click on Analyze, then click on Descriptive Statistics, then Frequencies. Choose and highlight the categorical variables that you want to run for analysis (e.g., sex). Move these variables into the variables box. Click on the Statistics button. In the Dispersion section, tick Minimum and Maximum.
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Andrew Bray is an assistant professor of statistics at Reed College. His interests are in computing, differential privacy, environmental statistics, and statistics education. He is a co-author of the infer package for tidy statistical inference.
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My first equation is based on a large sample of men and women and I simply regress height against weight using simple linear regression, and my stats package automatically generates the equation and r^2 value. Now suppose I want to create a regression equation which estimates weight based on whether a person is male or female (categorical data).
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Logistic regression and discriminant analyses are both applied in order to predict the probability of a specific categorical outcome based upon several explanatory variables (predictors). The aim of this work is to evaluate the convergence of these two methods when they are applied in data from the health sciences. For this purpose, we modeled the association of several factors with the ...