Aim I
REGRESSION
To determine if a virtual, balance assessment (instrumented L-shape mobility test) using wearable sensors can predict a gold-standard, clinical in-person assessment of balance (Mini-BESTest), we will use multiple linear regression. We will fit linear regression models with the total Mini-BESTest score, in addition to the four Mini-BESTest domain sub-scores. To determine the optimal set of predictors, we will employ three separate analytic approached to select predictors: 1) assess predictors based on their individual contribution to total R