Do the following instruction and provide a screenshot (or paste it into a notepad) for each action you performed.

1. Use the training set to run a regression predicting Credit Score based on Debt-to-Income-Ratio and Request Amount. Obtain a summary of the model.

2. Validate the model from the previous exercise. (Validate using the test data set).

3. Calculate and interpret the standard error of the estimate for the regression.

4. Construct a regression model for predicting Interest using Request Amount. Obtain a summary of the model. (Use the training data set

bank_reg_train = pd.read_csv('C:/Users/Aorus12345/Documents/bank_reg_training' ) bank_reg_test = pd.read_csv('C:/Users/Aorus12345/Documents/bank_reg_test') bank_reg_test