The phrase "a direct regression" is correct and usable in written English.
It can be used in contexts related to statistics, data analysis, or discussions about progress or development where a decline or reversal is being described.
Example: "The recent data shows a direct regression in the company's sales performance over the last quarter."
Alternatives: "a clear decline" or "an obvious setback".
The lipase activity was assayed under standard conditions and various preparations of solution A. The apparent kinetic parameters (KM, Vmax, and Kcat) of the partial purified lipase were calculated using a Michaelis-Menten hyperbola direct regression obtained experimentally with the SigmaPlot (v.10) software.
A direct logistic regression analysis was performed to assess the impact of four factors on the likelihood of newborn infants suckling effectively during the first hour of life.
To quantify the delay per exon, we plotted the exon density within the transition region of each gene against the elongation rate, and added a direct linear regression.
In a previous work, convective heating of carbon dioxide was studied with neural networks (NN), obtaining a totally heuristical heat transfer equation from the direct regression of experimental data.
We carried out a set of multinomial regression analyses: crude analysis, direct regression adjustment (adjusted for the measured covariates) and adjustment for PS (linear term) and the variables with residual imbalance.
A novel approach to the population balance embeds the nucleation rate into the model, enabling direct regression of its kinetic parameters.
In the path analysis, the significant correlations were either maintained as correlations or determined as direct regression paths implying suggested causal relationships.
Therefore, the approach adopted here was the proportional hazards model proposed by Fine and Gray, 20 based on direct regression modelling of covariates on the cumulative incidence function (CIF).
Direct regressions of chemical species in time-series models were limited either to a few chemical components that explained a substantial amount of PM2.5 mass (Peng et al. 2009) or to the analysis of multiple cities using earlier data.
