Sentence examples for predictor of value from inspiring English sources

For value for money ratings, there was no main effect of education, but again there was a trend towards the interaction between highest educational group and being female as a significant predictor of value for money ratings (coefficients: Degree or higher = 0.01; Gender = 0.46; Degree or higher by gender = −0.36; p = 0.06) (Supplementary Fig. S3).

Although marital status has been identified as a non-modifiable risk factor associated with ERVH, the predictor is of value for informing service planners as it helps identify married clients as being at higher risk for ERVH.

In an excess zero component, the variables Working hours and Leave are used as predictors of values exceeding zero in all four regression models.

Some studies demonstrated that the low birth weight is a predictor of lower values of body weight, BMI and underweight in childhood and adolescence [ 58– 62].

The FreeSurfer estimate of local curvature (smoothed with a 1-mm FWHM 2D kernel) was used as a linear predictor of R1 values at each depth.

The overall calendar model (Table  3) including night of the week, holiday eves, celebrations, and sporting events was a strong predictor of observed values (observed v modelled estimates; R = 0.918; P < 0.001).

For U.S. Restaurant Properties, a Dallas real estate investment trust that specializes in fast-food and family restaurants, however, the brand name, the historical performance of the location and the intrinsic value "are better predictors of the value of the asset" than the franchisee's creditworthiness, the chief operating officer, Harry O. Davis, said.

These findings confirmed the price quality value model (Monroe and Krishnan 1985) and means-end model (Zeithaml 1988), suggesting that perceived savings and perceived quality are predictors of perceived value.

In Study Two, building on the elaborated service description and extant research, in-depth interviews are conducted to gather thick descriptions of predictors of satisfaction, value and service quality as they relate to repurchase intention (RI).

Best linear unbiased predictors (BLUP) were obtained as predictors of additive value of each individual at a given QTL.

To investigate clinical variables that are potential predictors of the value of CTv in these patients, linear regression models based on the backward Akaike Information Criterion were used.