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**Data**: SADEMED.xls ### Instructions

## Exercise 3707. Points 2, theme: Model Application |
Open exercise |

Form linear regression model for predicting annual amount of precipitation using long term mean values for February and July in the attached file.

- Write the model formula to the answer like in the attached figure.
- What is the expected annual precipitation amount if the amount in February is 35 mm and in July 80 mm?

In **Statistica**, select *Multiple regression*. The model parameters can be found in the result panel column B. After forming the model, select panel *Residuals/assumptions/prediction*, then *Predict dependent variable*, input values given in the exercise and press *OK*.

In the **SDC** find function Non-spatial regression and copy the data to the input cell. The dependent variable must be in the first column, the explanatory variables in the following columns. The SDC outputs the regression formula in results, the user has to add the legend (meaning of notations).

Input the given values to the cells in prediction panel in the SDC or use a calculator or Excel to derive the predicted value from the formula.Do not forget to add the regression formula and the legend of notation to your answer. An example of model legend is in the attached figure.

Log in to send your results and to see the expected answer and responses from other students.