(redirected from linear regression)
Also found in: Dictionary, Thesaurus, Medical, Financial, Acronyms, Encyclopedia, Wikipedia.
Related to linear regression: Multiple linear regression
See: direct
References in periodicals archive ?
Determination of validation method of simple linear regression model: In engineering jobs in what is common is that one-third of data are excluded to validation and two-thirds of data that remain are used for modeling (Witten and Frank 2000).
The mean deviation from certified INR with the PT/INR Line using linear regression was 0.
We found no statistically significant difference in estimated blood loss, in our initial 50 cases and in the entire cohort; BMI was not an independent predictor of increased blood loss on linear regression modelling.
Some of these curves can be reduced to a linear regression by transformation, eg the exponential and negative exponential decay curves.
Create a forecast in any blank cell (for example, cell F2) by selecting that cell and typing = forecast and then using Ctrl+A to bring up the Function Arguments dialog box for the linear regression forecast function.
Furthermore, as we consider business result as dependent variable, and eight strategic variables as independent explanatory variables, it is suitable to use multiple linear regression to predict the value of dependent variable.
After a class lecture on simple linear regression, students were asked to collect data on 2 variables from the NBA website that might be linearly related.
The example uses simple linear regression to indicate the amount of adjustment for a selected physical characteristic or element.
A key assumption of standard linear regression is that regression error terms are normally distributed; the linear regression framework might be inappropriate for payment adjustments if this assumption is violated.
The Excel results for a multiple linear regression with general aptitude score and manual dexterity score as dual independent variables is shown in Exhibit 4.
We used time-series analysis and linear regression to investigate the relationship between the annual Nino-3 index from 1980 to 1998 and the annual incidence of visceral leishmaniasis (VL) in the State of Bahia, Brazil, during 1985-1999.
Correlation studies were performed by linear regression analysis.