Table 3. The model summary of multiple regression keeping the femur length as the dependent variable and other parameters as predictors. The R-value (multiple correlation coefficient) indicates the value of 0.507, i.e., a non-satisfactory level of prediction. In contrast, the lower value of R-square and adjusted R-square denotes a non-satisfactory model fit.

a. Predictors: (Constant), intertrochanteric line, Neck shaft angle, neck length, foveal depth, foveal transverse diameter, neck thickness, head diameter, foveal longitudinal diameter, and neck diameter. b. Dependent variable: femur length.

Model Summaryb
Model	R	R-Square	Adjusted R-Square	Std. Error of the Estimate	Change Statistics
					R-Square Change	F Change	df1	df2	Sig. F Change
1	0.507a	0.257	0.179	2.63954	0.257	3.301	9	86	0.002