Final answer:
The statement regarding one-variable data tables being used for what-if analyses with one changing cell and multiple result cells is true. Such tables in spreadsheet programs allow for sensitivity analysis and can change based on input values.
Step-by-step explanation:
The statement that a one-variable data table performs several what-if analyses by specifying one changing cell and several result cells is true. In Microsoft Excel and other spreadsheet tools, a one-variable data table is a feature that allows users to see how changes in one input value (the changing cell) can affect one or more outcomes (result cells). This tool is a form of sensitivity analysis used in various fields, including business, finance, and engineering, to predict the impact of changes in a single variable.
For instance, if you're looking at the impact of interest rates on a loan repayment, you can create a one-variable data table where the interest rate is the changing variable, and the result cells could be the monthly payment, total interest paid, and the overall cost of the loan. As the interest rate changes, the data table would show how each of these result factors are affected.
As for the suitability of one table over another, no one table is inherently more correct than another; they may just represent data in different forms or use different bases for comparisons. Different grouping of data can offer unique insights, such as broader trends versus detailed breakdowns, and the reason for switching between tables when analyzing the data would depend on the aspect of the data being examined at the time.