Parameters are numbers that summarizes something about a population; parameters are estimated from data; in GLM notation, the parameters (e.g., or ) summarize something about the population.
A kind of model used when both the outcome and explanatory variables are quantitative; a two-parameter model, the parameters being the slope () and y-intercept ().
The gf_dist() function can graphically overlay a number of different mathematical probability distributions. If we want to overlay the normal distribution, we’ll have to specify that with the argument “norm”, and then enter in the mean and standard ...
The confint() function computes confidence intervals (based on the t-distribution) for one or more parameters in a fitted model. The default confidence level is 95%. To adjust the confidence level, use the "level = " argument. Example 1: You can use ...
A statistical model is a simplified way of describing how data are generated. It helps us separate what we can explain using known information from what we cannot explain perfectly. We use statistical models for three main purposes: (1) to understand ...