11/3/2023 0 Comments Intraction subsume main effectThat is an interaction effect.Coronavirus disease 2019 (COVID-19) is a serious global pandemic. But if you decide to set your oven at 100 degrees F, you will need to cook for 45 minutes. 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. An interaction effect would tell you if the setting of one factor causes a change in the setting of another factor. Main effects look at the effect of each factor separately. How are interaction effects different from main effects? There may be a nonlinear relationship which you can test with the use of center points. The main effect plot shows a linear relationship between the high and low settings for the independent variables. Most computer programs will also compute a mathematical value for the main effect and provide a p-value which can be interpreted as being a significant effect or not. The slope of the line is a visual indicator where the steeper the slope the greater the impact. She confirmed this with the p-value provided in the text output of the program.įrequently Asked Questions (FAQ) about a main effect How do I know whether a main effect is truly significant? Machine temperature was the only factor with a steep slope. She visually drew this conclusion by looking at the slope of the three lines. She interpreted the graph to mean the only factor with some significant effect is machine temperature. She set up a DOE and at the end, produced the main effects plot below. 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. But, going from an octane rating of 85 to 91 increases your mpg and going from a tire pressure of 30 psi to 35 psi also increases your mpg. An overall interpretation would have you concluding that by going from 55 mph to 65 mph greatly reduces your mpg. Note the average mpg for Speed has the sharpest slope while Octane and Tire Pressure also have slopes but are not quite as steep. It appears that all three factors have a main effect with Speed being the most dominant effect. The mathematical difference on the vertical axis between the two points is your calculated main effect. The slope of the lines indicates the degree of effect the various factors have on your mpg. The following is a graphical output which most statistical software packages provide. Whether it was significant or not is a different story. The same could be done for the octane and tire pressure. The difference would be your main effect. Your calculation for the main effect would be the miles per gallon you drove when driving at 55 mph and compare it to driving at 65 mph. You could run a simple DOE whereby you vary your independent variables at the levels described above and then determine how many miles per gallon you achieved. The question is which, if any, have an effect on your mpg? 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. To what degree your X has on your Y can be computed and illustrated by the main effect plot. This relationship is written as Y = f(X) and is spoken as Y is a function of X. When doing a Design of Experiments (DOE) you will have a dependent variable (Y) and one or more independent variables (X).
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