linear regression


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Related to linear regression: Multiple linear regression
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Noun1.linear regression - the relation between variables when the regression equation is linear: e.g., y = ax + b
rectilinear regression
statistics - a branch of applied mathematics concerned with the collection and interpretation of quantitative data and the use of probability theory to estimate population parameters
regression toward the mean, simple regression, statistical regression, regression - the relation between selected values of x and observed values of y (from which the most probable value of y can be predicted for any value of x)
regression coefficient - when the regression line is linear (y = ax + b) the regression coefficient is the constant (a) that represents the rate of change of one variable (y) as a function of changes in the other (x); it is the slope of the regression line
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Hence, the current study was carried out to predict live body weight from more than a few morphological traits at each of three different periods through factor scores in multiple linear regression models.
Use of Factor Scores in Multiple Regression for Predicting Live Weight in Indigenous Savak Akkaraman Lambs
The relationships between all parameters were determined using simple and multiple linear regression analysis using MINITABA(r) statistical software version 13.1.1.
ACCURACY OF ESTIMATES FOR LIVE BODY WEIGHT USING SCHAEFFER'S FORMULA IN NON-DESCRIPT CATTLE (BOS INDICUS), NILI RAVI BUFFALOES (BUBALUS BUBALIS) AND THEIR CALVES USING LINEAR BODY MEASUREMENTS
There are studies that stipulate the normalizing of the values of pulmonary blood pressure once the clinic eutyroidism is obtained.3,4 Other studies reside in the evaluation of the relationship of correlation and of determination between different parameters and pulmonary hypertension by using the linear regression method.3,4,6,8
The Relation of Dependency and the Predictive Potential of Several Factors Possibly Involved in Determining Pulmonary Hypertension in Graves' Disease
Robust multivariate linear regression was performed using the robust package (8).
Resolution of Spurious Immunonephelometric IgG Subclass Measurement Discrepancies by LC-MS/MS
Put the 11 features into multiple linear regression models.
Plant Diseases Recognition Based on Image Processing Technology
Table 4: Testing of Multiple Linear Regression Model ANOVA
FACTORS THAT AFFECT ECONOMIC GROWTH
Linear regression analysis was employed to process data (Tables II, III) and to establish a linear regression equation for individual age: Y=69.137-621.200X (X=PV/TV), P < 0.001, R=0.544.
Morphology and Volume of Maxillary Canine Pulp Cavity for Individual Age Estimation in Forensic Dentistry/Morfologia y Volumen de la Cavidad de Pulpa del Canino Maxilar para la Estimacion de la Edad Individual en Odontologia Forense
* Linear regression is limited to predicting numeric output.
Optimize Linear Regression Model with Intel DAAL
To address the research question and achieve the objective of the study, correlation and statistical linear regression analysis was done to predict the values of response variables (dependent variables: physico-chemical characteristics of SPM) through explanatory variables (independent variable: physico-chemical characteristics of inert matter/material/waste) [30].
Estimation of Physico-Chemical Characteristics of Suspended Particulate Matter (SPM) at Construction Sites: A Statistical Regression-Based Model
The linear regression equation describing the behavior of the expression of the lodging percentage of oat plants by the increment in the doses of the growth regulator was fitted.
Oat yield through panicle components and growth regulator/Produtividade da aveia por componentes da panicula e regulador de crescimento
In the analysis model of multiple linear regression, variables Y, [X.sub.1], [X.sub.2], ..., [X.sub.m] are quantitative, measured in interval and relative scales, or dichotomous, of m values.
Methodology and precision research of wind farm power prediction
The fuzzy linear regression equation is represented as follows:
The Adaptive-Clustering and Error-Correction Method for Forecasting Cyanobacteria Blooms in Lakes and Reservoirs

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