{"id":10323,"date":"2024-01-05T09:38:09","date_gmt":"2024-01-05T09:38:09","guid":{"rendered":"https:\/\/support.divominer.com\/en\/?post_type=ht_kb&p=10323"},"modified":"2024-01-08T06:52:26","modified_gmt":"2024-01-08T06:52:26","slug":"how-to-do-regression-analysis-univariate-and-multivariate-how-to-do-advanced-statistics","status":"publish","type":"ht_kb","link":"https:\/\/support.divominer.com\/en\/knowledge-base\/how-to-do-regression-analysis-univariate-and-multivariate-how-to-do-advanced-statistics\/","title":{"rendered":"How to do regression analysis (univariate and multivariate)? How to do advanced statistics?"},"content":{"rendered":"\n

The purpose of correlation analysis is to determine whether there is a connection between the items under study. On the other hand, regression analysis basically investigates the impact of the independent variable X on the dependent variable Y. It’s important to note that the presence of correlation does not imply the existence of a regression relationship.<\/p>\n\n\n\n

There are two ways to complete a regression analysis on the DiVoMiner platform:<\/p>\n\n\n\n

  1. Under [Statistical Analysis] – [Basic Statistics], you can run a one-way linear regression as follows:<\/strong><\/li><\/ol>\n\n\n\n

    Drag and drop a categorical variable into the [Dimension] column, drag and drop two numerical variables<\/strong> into the [Numerical value] column, use “Summation<\/strong>” as the statistical method, select Scatter chart on the right side, check the box of [Unary regression analysis], select the regression analysis method, then the regression analysis of the variables can be calculated.<\/p>\n\n\n\n

    \"\"<\/figure>\n\n\n\n
    1. The second way is to produce a multiple regression analysis in [Statistical Analysis] – [Advanced Statistics] by:<\/strong><\/li><\/ol>\n\n\n\n

      Click [Create a Calculation Task], choose the statistical methods ([Linear regression] or [Linary logarithmic regression]) base on your need. Fill in the “Task Name”, select the database, X-axis and Y-axis variables, you can specify a specific range of data in [Filter condition], confirm the number of data, click [OK] to execute the algorithm.<\/p>\n\n\n\n

      \"\"<\/figure>\n\n\n\n
      \"\"<\/figure>\n\n\n\n
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      \u5b8c\u6210\u540e\uff0c\u53ef\u70b9\u51fb\u6a21\u578b\u53f3\u4fa7\u3010\u67e5\u770b\u6570\u636e\u3011\uff0c\u67e5\u770b\u6570\u636e\u7ed3\u679c\u3002<\/p>\n\n\n\n

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