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      • Use a main effects plot to examine differences between level means for one or more factors. There is a main effect when different levels of a factor affect the response differently. A main effects plot graphs the response mean for each factor level connected by a line.
      support.minitab.com/minitab/help-and-how-to/statistical-modeling/anova/supporting-topics/basics/what-is-a-main-effects-plot/
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  2. Use a main effects plot to examine differences between level means for one or more factors. There is a main effect when different levels of a factor affect the response differently. A main effects plot graphs the response mean for each factor level connected by a line.

  3. The main effects plot is the simplest graphical tool used to determine the relative impact of a variety of inputs on the output of interest. In the Design Of Experiment or Analysis of variance, the main effects plot shows the mean outcome for each independent variables value, thus combining the effects of the other variables.

    • 8 min
    • Overview: What Is A Main Effect?
    • An Industry Example of Main Effect
    • Frequently Asked Questions (FAQ) About A Main Effect

    You have determined your car’s gas mileage (mpg) is your desired dependent variable and the speed you drive (55 or 65 mph), octane of the gas (85 or 91) and tire pressure (30 or 35 psi) are the independent variables you want to study. The question is which, if any, have an effect on your mpg? You could run a simple DOE whereby you vary your indepen...

    The company Six Sigma Master Black Belt (MBB)was tasked with determining what factors have a significant impact or effect on the viscosity of a common product the company produces. She set up a DOE and at the end, produced the main effects plot below. She interpreted the graph to mean the only factor with some significant effect is machine temperat...

    How do I know whether a main effect is truly significant?

    The slope of the line is a visual indicator where the steeper the slope the greater the impact. Most computer programs will also compute a mathematical value for the main effect and provide a p-valuewhich can be interpreted as being a significant effect or not.

    The main effect plot shows a linear relationship between the high and low settings for the independent variables. Is that always the case?

    No. There may be a nonlinear relationship which you can test with the use of center points.

    How are interaction effects different from main effects?

    Main effects look at the effect of each factor separately. An interaction effect would tell you if the setting of one factor causes a change in the setting of another factor. For the example below, your DOE might conclude if you want to maximize your Cake Goodness you need to set your oven at 500 degrees F and cook for 20 minutes. But if you decide to set your oven at 100 degrees F, you will need to cook for 45 minutes. That is an interaction effect.

  4. A main effects plot is a graphical representation that illustrates the effect of each factor in an experiment on the response variable, while averaging out the influence of other factors.

  5. A main effects plot is a plot of the mean response values at each level of a design parameter or process variable. One can use this plot to compare the relative strength of the effects of various factors.

  6. We’ll figure out how to calculate the partial (or marginal) effect, the main effect, and the interaction effect of regression variables in a regression model.

  7. Use Main Effects Plot to see how one or more categorical factors influence the continuous response. For example, a carpet manufacturer wants to see the results for a one-way ANOVA. The manufacturer creates a main effect plot of the average carpet durability scores by carpet type.

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