Thank you for you answer.
I reported what I got from some web sites specialized on six sigma application (for example https://sphweb.bumc.bu.edu/otlt/MPH-Modules/BS/R/R5_Correlation-Regression/R5_Correlation-Regression4.html, https://opexresources.com/analysis-residuals-explained/) as I didn’t find one specific source to rely on.
I was interested…[Read more]
I know that for linear regression (simple and multiple) we assume:
Homoscedasticity: The variance of residual is the same for any value of X.
Independence: Observations are independent of each other.
Normality: For any fixed value of X, Y is normally distributed.
Normality of residuals tells us if the regression model is strong.
Hello, I’d really like to know if there is an easy method to determine design resolution (I, II, III…) on the basis of number of levels, factor and generators. For example: 2^8-2, 2^9-1, 2^27-1.
I’m sure there’s a trick or short formula i can use without write down the entire table.
Thank you! 3 years ago