Abstract: An apparatus may include a processor caused to: receive indications of selection of experiment designs to compare; receive indications of selection of a set of terms to include in the comparison; for each experiment design, generate a corresponding term correlation graph of a set of term correlation graphs, wherein: the correlation graph comprises horizontal and vertical axes along both of which the set of terms are arranged, at each intersection within the graph, a degree of correlation between terms is indicated with a visual indicator selected from a set of visual indicators, the set of visual indicators is assigned an order that corresponds to a range of degree of correlation, and the range is divided into a set of contiguous sub-ranges, and each visual indicator corresponds to one of the sub-ranges; and present at least two correlation graphs of the set of correlation graphs at adjacent locations on a display.

Abstract: An apparatus may include a processor caused to: receive indications of selection of an experiment design for regression analysis, of a type of distribution for a simulation of random data in the regression analysis, and of selection of a number of iterations of the simulation of random data; generate executable instructions in a pre-selected programming language to be executable by the processor to perform the regression analysis with the selected number of iterations of simulation of random data and with the selected type of distribution; generate a human readable form of a portion of the first executable instructions that includes the coefficients and terms in mathematical notation, and that specifies the selected number of iterations and the selected type of distribution for the simulation of random data; and present, on a display communicatively coupled to the processor, the human readable form of the portion of the first executable instructions.

Abstract: An apparatus may include a processor caused to: receive indications of first and second experiment designs to be compared; for each factor of the model of the first experiment design, identify a matching factor of the model of the second experiment design based on factor type, wherein the factor type is selected from the group consisting of a categorical factor and a continuous factor; for each categorical factor of the model of the first experiment design, identify a matching factor of the model of the second experiment design additionally based on quantity of levels of each factor; for each term of the model of the first experiment design, identify a matching term of the model of the second experiment design based on an order of each term; and present, on a display, the identified matches between the terms and between the responses of the first and second experiment designs.

Abstract: An apparatus may include a processor caused to: receive indications of selection of experiment designs to compare; receive indications of selection of a set of terms to include in the comparison; for each experiment design, generate a corresponding term correlation graph of a set of term correlation graphs, wherein: the correlation graph comprises horizontal and vertical axes along both of which the set of terms are arranged, at each intersection within the graph, a degree of correlation between terms is indicated with a visual indicator selected from a set of visual indicators, the set of visual indicators is assigned an order that corresponds to a range of degree of correlation, and the range is divided into a set of contiguous sub-ranges, and each visual indicator corresponds to one of the sub-ranges; and present at least two correlation graphs of the set of correlation graphs at adjacent locations on a display.