Simulated data for Bayesian linear regression models, for use in package examples.

Description

20,000 samples of simulated data. The response values y_i are simulated according to the following:

y_i = 0.76 - 0.92*x_{i1} + 0.64*x_{i2} + 0.57*x_{i3} - 1.65*x_{i4} + ε_i.

Here, each predictor variable is simulated from a Normal distribution with mean = 0 and variance = 1.0, and each ε_i is simulated from a Normal distribution with mean = 0 and variance = 0.25; the predictor variables are assumed to be independent.

Usage

data("regressiondata.nz.all")

Format

A data frame with 20,000 observations for five variables: y, x_1, x_2, x_3, x_4

Results