Assertion: regression's variable | /r/AtLocation | the model
Facets:
Source sentences:
text: The explanation of this statistic is almost the same as R2 but it penalizes the statistic as extra variables are included in the model.
text: This means that only relevant variables must be included in the model and the model should be reliable.
text: This test measures the contribution of a variable while the remaining variables are included in the model.
text: A model specification error can occur when one or more relevant variables are omitted from the model or one or more irrelevant variables are included in the model.
text: On the other hand, if irrelevant variables are included in the model, the common variance they share with included variables may be wrongly attributed to them.
text: This value follows a t(n-p-1) distribution when p variables are included in the model.
text: Since the P-values for both "Fat" and "Sugar" are highly significant, both variables may be included in the model.