![]() ![]() Data mining has applications in multiple fields, like science and research. It implies analyzing data patterns in large batches of data using one or more software. In simple words, data mining is defined as a process used to extract usable data from a larger set of raw data. Data mining depends on effective data collection, warehousing, and computer processing. By using software to look for patterns in large batches of data, businesses can learn more about their customers to develop more effective marketing strategies, increase sales and decrease costs. ![]() > # additive model - scaled predictors > vif( lm(y ~ cx1 + cx2, data)) cx1 cx2ġ.743817 1.743817 Multiple Linear Regression Assumptionsġ.743817 1.743817 > # multiplicative model - raw predictors > vif( lm(y ~ x1 * x2, data)) x1 x2 x1:x2ħ.259729 5.913254 16.949468 Multiple Linear Regression Assumptions > # multiplicative model - raw predictors > vif( lm(y ~ x1 * x2, data)) x1 x2 x1:x2ħ.259729 5.913254 16.Data mining is a process used by companies to turn raw data into useful information. Some prefer \(>3\) Multiple Linear Regression Assumptions \] Strong when \(R^2 \ge 0.8\) Multiple Linear Regression Variance inflation Multiple Linear Regression Variance inflation \] Centering data Multiple Linear Regression CenteringĪssumptions Multiple Linear Regression Assumptions ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |