![]() For example, if you have a continuous predictor with 3 or more distinct values, you can estimate a quadratic term for that predictor. The first condition is that there must be terms you can fit with the data that are not included in the current model. If two conditions are met, then Minitab partitions the DF for error. Increasing the number of terms in your model uses more information, which decreases the DF available to estimate the variability of the parameter estimates. Increasing your sample size provides more information about the population, which increases the total DF. ![]() The DF for a term show how much information that term uses. ![]() The total DF is determined by the number of observations in your sample. The analysis uses that information to estimate the values of unknown population parameters. The total degrees of freedom (DF) are the amount of information in your data.
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