Answer the following using the R statistical computing platform.

The attached data set is about patient satisfaction regarding recent surgeries at a nearby hospital. Patient age, severity of injury/disease that necessitated the surgery, and anxiety are provided as numbers (higher scores indicate a more severe illness and more anxiety).

A. Perform a thorough analysis of these data using a multiple linear regression (MLR) model to include confidence intervals on the regression coefficients and significance tests on regression.

B. What statistical conclusions can be drawn about predicting patient satisfaction based on just age, just severity, or the combined dataset of age and severity?

C. Does the data show any symptoms of being multicollinear?

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