The results of the regression indicate that eight variables explained 58.4% of the variance (R2 = 0.584, P < .0001). Higher median MCAT significantly predicted higher Step 1 score (β = 1.28, P = 0.0002). Table 3 Results of multivariable linear regression model for STEP ...
has also grown. In this category, can be cited: multivariate statistics and regression models72; multivariate statistics, probability curves and GIS69; regression models73; fuzzy methodology and GIS74; artificial neural network—ANN and multiple linear regression—MLR75; and entropy information...
(xla) that performs multi-precision floating point arithmetic from 1 up to 250 significant digits. It is compatible with Excel XP and consists of a set of more than 270 functions/macros for arithmetic, complex , trigonometric, logarithm, exponential calculus. Linear Algebra: System resolution with...
The significant variables were extracted and used in the multiple linear regression model to assess their predictive effect on treatment time. The stepwise method selected the independent variables to be included in the regression model, based on which an appropriate regression model was created. 3. ...
A Microsoft Excel spreadsheet was created to document the date of the MRI acquisition, along with the associated patient’s hospital number, breed, sex, age, and weight at the time of acquisition. 2.2. Clinical History After the initial selection, the respective clinical histories and reports ...