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multiple-linear regression model (SAS institute)

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SAS institute multiple-linear regression model
Multiple Linear Regression Model, supplied by SAS institute, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/multiple+linear+regression+model/multiple+regression+model/pmc11381414-159-7-26
Average 90 stars, based on 1 article reviews

multiple-linear regression model - by Bioz Stars, 2026-09

90/100 stars

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Article Title: Hock lesion epidemiology in cubicle housed dairy cows across two breeds, farming systems and countries.
Article Snippet: This cross-sectional study examined various aspects of cubicle design and management in terms of their potential as risk factors for hock lesions, using an epidemiological approach.. Cubicle dairy farms in Germany and Austria with Holstein Friesian or Simmental cows were visited during the winter housing season.. 105 farms and 3691 cows were included in the analysis which consisted of three steps: bifactorial regression, regression trees and multiple linear regression.

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Article Title: Agronomic and environmental implications of enhanced s-triazine degradation.
Article Snippet: 3.5 Predicting atrazine persistence across the agricultural landscape A multiple linear regression model able to predict atrazine half-life values in soil was constructed using the stepwise procedure in SAS (model 1): log10(T1/2) = 0.18080 − [0.62740 × log10(pH)] − [0.32927 × log10(Cyr)] + 0.87216h (model 1) where T1/2 is the atrazine half-life value standardized to 20 ◦C via the Arrhenius equation (days), pH is minus the decimal logarithm of the hydrogen ion activity in a 1 : 1 aqueous soil solution paste, Cyr is the consecutive years of atrazine applications, ranging from 0 (no applications) to 5 (five consecutive applications), and h is the atrazine use history in the last 5 years, where soils receiving an atrazine application = 1 and soils not receiving an atrazine application = 2.

Article Title: Genetics of residual feed intake in growing pigs: Relationships with production traits, and nitrogen and phosphorus excretion traits.
Article Snippet: The percentages of variability of ADFI explained by each factor or trait included in the multiple linear regression model were obtained as the difference between the R2 of the full model and the R2 of the reduced model obtained by deleting this trait or factor from the full model (SAS).

Article Title: Mean Corpuscular Volume and the Aldehyde Dehydrogenase-2 Genotype in Male Japanese Workers
Article Snippet: Background: Increased mean corpuscular volume (MCV) is common in alcohol abusers and alcoholics.. MCV is higher in Japanese heavy drinkers with inactive aldehyde dehydrogenase-2 (ALDH2) encoded by ALDH2*1/2*2 than among those with active ALDH2 encoded by ALDH2*1/2*1.. Inactive ALDH2 dramatically increases blood acetaldehyde levels after alcohol intake.

Construct:

Article Title: A novel statistical approach to detect differences in fat and protein test values among mid-infrared spectrophotometers.
Article Snippet: .. Multiple Linear Regression Model. A multiple linear regression model was constructed using SAS software (version 9.2, SAS Institute Inc., Cary, NC). ..