Tag: minitab

  • Which is more different between Parametric and Non-Parametric?

    Which is more different between Parametric and Non-Parametric?

    Parametric and non-parametric. Many researchers use an experimental design to find which method significantly gives the best answer to the output expectations desired by researchers or students. Cultivation breeders are certainly familiar with experimental design material, including complete randomized design, group randomized design, and others. Of course, with different terms and conditions. But this time…

  • SARIMA ARIMA : The Twins of Time Series

    SARIMA ARIMA : The Twins of Time Series

    Sarima Arima. Continuing the previous time series discussion, here I will discuss one of the time series analysis methods that was quite famous in the 1990s until now, namely Arima Sarima. Arima actually stands for autoregressive integrated moving average. While Sarima is the same as Arima, it was initially added with the word seasonal.” Based…

  • Did you know that Dummy variable like level in experiment?

    Did you know that Dummy variable like level in experiment?

    Dummy variable in regression are slightly different from other variables, both in data processing and when reading regression results. Linear regression, or multiple regression, is a function that explains the relationship between independent variables and dependent variables. One dependent variable (Y) is usually influenced by several independent variables (X). For example, the production variable is…

  • How to Eliminate Variables in Regression

    How to Eliminate Variables in Regression

    Eliminate Variables in Regression. Regression is the most popular statistical technique that explains the relationship between an independent variable and its dependent variable, either simultaneously or individually. Those of you who are used to using it must be familiar with R-square or R-square adj, where this one indicator explains the goodness of the model issued…

  • Find here a secret tip: Ironing of Regression.

    Find here a secret tip: Ironing of Regression.

    Ironing of Regression. The need for data fitting techniques in regression is because regression is synonymous with linear. This is because the standard pattern of regression is a straight line. Where Y = a +bx +e … with a as a constant, b is a coefficient that reflects the relationship between variables x and Y,…