The R square was.985, indicating that (as might be expected) almost all the variance in the SDS total score was predicted by these two subsets of SDS items; this result was significant (F 2,506) = 171.000, p <.001).
The R square was.912, indicating that almost all the variance in the Melancholia score was predicted by these two subfactors, and this result was significant (F 2,510) = 2,624.000, p <.001).
This figure is characterized by considerable variance, whereas almost all the respondents believe that information about prospective profitability (98%) and market interest (97%) is fundamental, while only 12% consider track record to be relevant.
On the contrary, for FA and measurement error PC1 explained almost all total variance (>80%).
This reveals that (L_1) regularization results in slightly lower misfit than (L_2) regularization, although both approaches describe almost all of the variance in the measurements.
Pritchard [ 12] found that almost all of the variance in place of death was explained by the hospital-day rate (hospital days per 1,000 beneficiaries), and by the number of acute care beds (per 1,000 population).
The magnitude of the total variance differed between disease groups, with high variance for CVA, AMIplus and CHF in almost all years and low variance for HIP and KNEE.
Analysis of variance showed highly significant variance (P ⩽ 0.01) among almost all sources of variation.
Due to the departure from normality in the score and response time errors accounting for almost all of the score variance (r = −.971, p < .001), overall score was not utilized in later analyses.
