This must be completed using SPSS syntax

This problem leverages the attached dataset 1. Conduct complete EDA (missing, outliers, feature engineering transformations). Be sure to include univariate, bivariate, and multivariate graphs and statistics. You wish to build models for total patient satisfaction or some function of it (if you transformed). Using the whole dataset (no train or test here), do the following. 2. Include at least one dichotomous variable and at least one interaction between a dichotomous and a quantitative variable 3. Build at least one spline and one polynomial term 4. Conduct Automatic Linear Regression. This is model 1. Produce predictions. 5. Conduct Lasso, Ridge, and ElasticNet Regression with all variables. Then produce 1 model based on the information acquired. This is model 2. Produce predictions. 6. Evaluate the assumptions of regression, the coefficient table, and the ANOVA table for these four models, and predict total satisfaction with model 1 and model 2. 7. Evaluate these models' performances using at least 4 metrics (your choice). Which model performed the best?