Alphabetical Statistical Symbols

Alphabetical Statistical Symbols: Symbol Text Equivalent Meaning Formula Link to Glossary (if appropriate) a Y- intercept of least square regression line a = y bx, for line y = a + bx Regression: y on x b Slope of least squares regression line b = ¦ ¦ ( )2 ( )( ) x x x x y yfor line y = a + bx Regression: y on x B (n, p) Binomial distribution ...

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Lecture 5 Hypothesis Testing in Multiple Linear Regression

courses.washington.edu

is often provided in the output from statistical software as Source of Sums of squares Degrees of F variation freedom Regression x 1 1 x 2|x 1 1... x p|x p−1,x p−2,··· ,x 1 1 ... • Is the increase in the regression sums of squares sufficient to warrant an additional predictor in the model? • Additional predictors will increase the ...

  Statistical, Regression

Measures of Fit for Logistic Regression - Statistical Horizons

statisticalhorizons.com

squares in regression. A “pseudo” R -square. Problem with Cox -Snell: An upper bound less than 1. where . p is the overall proportion of events. The maximum upper bound is .75 when p=.5. When p=.9 or .1, the upper bound is only .48. Simple solution: divide Cox -Snell by its upper bound yielding “max-rescaled R -square” ( Nagelkerke).

  Statistical, Regression, Statistical regression

Multinomial Logistic Regression

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interval or ratio in scale). Multinomial logistic regression is a simple extension of binary logistic regression that allows for more than two categories of the dependent or outcome variable. Like binary logistic regression, multinomial logistic regression uses maximum likelihood estimation to evaluate the probability of categorical membership.

  Logistics, Regression, Multinomial, Multinomial logistic regression, Logistic regression

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