The sensitivity analysis of regression model can be performed in Excel, which can be realized by using the built-in function Data Table of Excel. Here are some basic steps:
1. Create a new Excel sheet.
2. In the new worksheet, enter the range of values for the independent and dependent variables that you want to analyze.
3. Enter the formula and parameter values of the ridge regression model under the data area.
4. Select the data area and formula area.
5. On the Excel menu, choose Data > Data Table.
6. In the dialog box that pops up, enter the parameter input area, that is, the parameter for sensitivity analysis.
7. Select the output region of the result, that is, the dependent variable for which the sensitivity needs to be calculated.
8. Click the "OK" button, and Excel will automatically calculate the influence of each parameter on the dependent variable, so as to obtain the result of sensitivity analysis.
It should be noted that when sensitivity analysis is carried out, the value range of dependent variables can be reduced to better understand the impact of each parameter on the model. In addition, different scenarios can be simulated by changing the parameter values of the model to better understand the performance and predictive ability of the model.
