linear regression

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Related to multiple regression: Multiple linear regression

linear regression

[′lin·ē·ər ri′gresh·ən]
(statistics)
The straight line running among the points of a scatter diagram about which the amount of scatter is smallest, as defined, for example, by the least squares method.
References in periodicals archive ?
In this research for the zoning landslide in the study area, in addition to modeling using the multiple regression.
Garcia and Jenkins (2003) used multiple regression and principal component analysis to study the impact of around 20 independent variables on performance of a degree program in accounting and finance and found six were significant in explaining the variation in current performance.
1 it can be seen that were seven cases (5, 7, 17, 35, 43, 44 and 53) with extreme values which could distort the results of multiple regression.
The answer: it is a measure of how accurately the multiple regression equation used by the county predicts residential values based on cases where there have been recent sales.
To further analyze the lack of contribution of ATM encounter satisfaction to overall satisfaction, another multiple regression analysis was conducted using the enter approach which forces all three proposed predictors into the regression model.
Simple and multiple regressions are performed to determine, at the firm level, whether and to what extent these variables are related to stock price changes and what portion of the stock price movements can be explained by these firm performance variables.
Another approach is to calculate heating times using the heat conduction equations for a large number of combinations of the variables and fit them to a multiple regression model.
Thus, multiple regression analysis in this context analyzes sales data to estimate the risk-related effects on property value known as environmental stigma.
The second (preliminary) step, estimates models 1 & 2 for both high tech and traditional corporations separately using multiple regression techniques.
To determine which variables best predict frequency of volunteering, two separate stepwise multiple regression analyses were conducted.
Third, fair-lending enforcement agencies should implement a performance-based analysis of loan-approval decisions to supplement the multiple regression procedures.
To overcome this problem, a multiple regression model is often used to predict the values of properties that are not individually appraised (mass appraisal technique), enabling a point estimate for the entire portfolio to be determined.

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