Linear B | linear algebra | Linear Algebra | linear | regression | Linear function | Regression analysis | Past life regression | Linear Technology | Linear low-density polyethylene | Generalized linear model | Piecewise linear manifold | Piecewise linear function | Piecewise linear continuation | Mullum Mullum Creek Linear Park | minor (linear algebra) | Logistic regression | logistic regression | Linear transport theory | Linear temporal logic | '''Linear scale | Linear predictive coding | linear predictive coding | Linear interpolation | linear interpolation | Linear independence | linear feedback shift register | Linear equation | linear equation | Linear element |
Analyse-it provides a range of standard parametric and non-parametric procedures, including Descriptive statistics, ANOVA, Mann–Whitney, Wilcoxon, chi-square, correlation, linear regression, logistic regression, polynomial regression and advanced model fitting.
Bayesian approach to multivariate linear regression, i.e. linear regression where the predicted outcome is a vector of correlated random variables rather than a single scalar random variable.
One common way to find the receptive field is to use linear regression to find which stimulus characteristics typically caused neurons to become excited or depressed.
Unlike ordinary linear regression, however, logistic regression is used for predicting binary outcomes of the dependent variable (treating the dependent variable as the outcome of a Bernoulli trial) rather than continuous outcomes.
Homoscedasticity, one of the basic Gauss–Markov assumptions of ordinary least squares linear regression modeling, refers to equal variance in the random error terms regardless of the trial or observation, such that