Your team is trying to develop a model to identify factors impacting blood pressure. They are considering the following parameters: age, weight, body surface area, duration of hypertension, and pulse. The team has collected some data and ran a correlation on their data to generate the correlation matrix shown below. You would like to build a regression model using your data. Blood Age Weight Body surface Duration of hypertension Pulse pressure area Correlation Matrix Age Weight Body surface area Duration of hypertension Pulse Stress 0.659 0.950 0.866 0.293 0.721 0.164 0.407 0.378 0.344 0.875 0.201 0.659 0.034 0.619 0.368 0.131 0.465 0.018 0.402 0.312 0.506 If you decided to build a multiple regression model to predict blood pressure, what variables would result in multicollinearity if included in the model? O a. Age and Weight O b. Body Surface Area and Duration of hypertension O c. Body Surface Area and Weight Od. Duration of hypertension and Pulse Oe. Weight and Duration of hypertension