Kitchen utensil Breazeale advocated simplicity over dishwashing machines "that would have done credit to a moderate sized hotel", and noted that the most useful kitchen utensils were "the simple little inexpensive conveniences that work themselves into every day use", giving examples, of utensils that were simple and cheap but indispensable once obtained and used, of a stiff brush for cleaning saucepans, a sink strainer to prevent drains from clogging, and an ordinary wooden spoon. The "labour-saving" devices didn't necessarily save labour, either. While the advent of mass-produced standardized measuring instruments permitted even householders with little to no cooking skills to follow recipes
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