Sentence examples for variable linear models from inspiring English sources

The reason why our proposed multi variable linear models have produced the non-linear results is in the distribution of the real events.

For analyses of immune parameters as a response variable, linear models were used for immune parameters that could be normalised, and generalised linear models (GLMs) with a binomial error structure were used for parameters as presence/absence data.

The categorical predictor "genera" has a significant addictive effect on the dependent variable (linear model intercepts are significantly different from genus to genus).

For each miRNA, the initial process of analysis was as follows: (i) run the single variable linear model; (ii) run the same model adjusted for BNP (log-transformed); (iii) run the same model adjusted for age and gender; and (iv) run the same model adjusted for age, gender, and BNP.

However, because of different components of aggregate water demand may be determined by different subsets of explanatory variables, linear model technique in decision making especially in planning where decision makers have to forecast what will happen in the future on the basis of past and current conditions is used in this research.

For the most part, the simpler two-variable linear model was adequate for present needs.

Relative to the for unscarred volume in the two-variable linear model (0.79), the three-variable linear model provided a modest gain in sufficiency at the cost of inordinate complexity.

The four-variable linear model explained 59% of the variance in the average daily personal exposures (N = 180 person-days).

In general, for studying regression models with a dual choice dependent variable, linear probability models, logit, probit and Tobit models are used (Nakhaei 1389).

Finally, we ran multiple variable linear regression models to generate a final explanatory model on the factors related to WBVs for Medicaid-enrolled infants.

We ran multiple variable linear regression models with robust standard errors (α = 0.05).