Sentence examples for using a simple regression from inspiring English sources

WU was simulated using a simple regression model, which considered the radiation actually intercepted by the crop.

These differences were tested for significance using a simple regression model at 95% confidence and then plotted onto a graph.

The process (covered in detail in Lankester and Brimblecombe [13, 14]) correlates daily indoor temperature and relative humidity with that of a nearby weather station using a simple regression equation and establishing different coefficients for each month to allow for seasonal climate and patterns of room use.

For the significant markers, the phenotypic variation (R ) was calculated using a simple regression equation.

For MIB-1 the correlation studies were performed using a simple regression test.

Alternatively, the degree of overfitting may be quantified using a simple regression model.

To try to get at an answer, Brauner used a simple regression model and found that higher levels of personal contact, paid television advertising and new registration predicted higher support for Obama at the county level even after controlling for the most significant demographic variables (race, age, education, marriage, religious adherence and the presence of children in the household).

We used a simple regression (GLM Type II, sum of squares) to test whether the number of haplotypes or haplotype diversity could be explained by sample size.

At the second level of the random effects analysis, we used a simple regression model for each group to look for brain regions showing correlations between preoperative encoding asymmetry and verbal and visual memory change following ATLR.

We first used a simple regression model, y i = μ + b p i + e i where yi is the gene expression data for the ith individual for each gene, μ is the general mean, b is slope of the regression analysis, pi is the PrPSc deposition for the ith individual and ei is the residual.

For fixed ψ, let denote the OLS residual from regressing A on Y using a simple linear regression.