The phrase "a regression for a" is grammatically correct and can be used in written English.
It can be used in contexts related to statistical analysis, modeling, or research where you are discussing a regression analysis for a specific variable or outcome.
Example: "The study conducted a regression for a better understanding of the relationship between education level and income."
Alternatives: "a regression analysis for" or "a regression model for".
And yet this does not feel like a regression for a company that's demonstrated an ongoing obsession with racking up and knocking down new competitors, but rather a step forward, both in terms of Netflix's growing profile as a business and their responsibilities as self-appointed cultural gatekeepers.
The Scot's bitter falling-out with the club's Malaysian owner Vincent Tan had disillusioned many supporters who saw Mackay's sacking as a regression for a club who had fought so hard for a top-flight return after half a century away.
The average ethanol yields (Y EtOH/Xyl ) for each strain can be estimated by generating a regression for a plot of xylose consumption versus ethanol generation and these were found to be 0.31 g/g for strain Y128 and 0.25 g/g for strain Y73.
For some, these "brainless little icons" (as Guardian art critic Jonathan Jones described them last year) represent not an adjunct but a regression for our species.
For each transformed density measure, Y, we fitted a regression for the mean as a linear function of age and BMI and the other fitted covariates.
It compares K-means clustering of macrodata, a logit regression for macrodata, a logit regression for credit ratings, and the combined forecasts from all three methods.
A linear regression for 2001 to 2030 shows an R 2=0.09 and a mean yield increase of 0.11% p.a., a non-significant but positive trend, whereas 2031 to 2099 has a R 2=0.37 and an increase of 0.26% p.a.
Hazard ratios were estimated using a Cox regression for DFS/OS in a multivariate analysis.
In order to obtain a linear regression for a larger concentration range i.e. 0.25 4 µmol L−1, a lower frequency of 2.5 Hz is needed.
The general linear model, in detail, may be treated as an extension of linear multiple regression for a single dependent variable.
