Kitchen utensil boiling coffee, or a filter — either being equally good; a tin canister to keep roasted and ground coffee in; a canister for tea; a covered tin box for bread; one likewise for cake, or a drawer in your store-closet, lined with zinc or tin; a bread-knife; a board to cut bread upon; a covered jar for pieces of bread, and one for fine crumbs; a knife-tray; a spoon-tray; — the yellow ware is much the stringest, or tin pans of different sizes are economical; — a stout tin pan for mixing bread; a large earthen bowl for beating cake;
Kitchen sink regression generalizations). The reason for this is that the more independent variables are included in a regression, the greater the probability that one or more will be found to be statistically significant while in fact having no causal effect on the dependent variable—that is, the more likely the results are to be afflicted with Type I error. The kitchen sink regression is an example of the practice of data dredging. Kitchen sink regression Pejoratively, a kitchen sink regression is a statistical regression which uses a long list of possible independent variables to attempt to explain variance in a dependent variable. In