# regression analysis

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 Noun 1 regression analysis - the use of regression to make quantitative predictions of one variable from the values of anotherstatistics - a branch of applied mathematics concerned with the collection and interpretation of quantitative data and the use of probability theory to estimate population parametersmultivariate analysis - a generic term for any statistical technique used to analyze data from more than one variableregression 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 equation, regression of y on x - the equation representing the relation between selected values of one variable (x) and observed values of the other (y); it permits the prediction of the most probable values of yregression curve, regression line - a smooth curve fitted to the set of paired data in regression analysis; for linear regression the curve is a straight line
References in periodicals archive ?
In addition, Figure 3 shows that the ordinary least squares regression overestimates the effect of X7 on service satisfaction for high quantiles of service satisfaction.
This article studies diabetic disease management programs in three states, Washington, Texas, and Georgia, and it uses difference-in-differences models and ordinary least squares regressions to determine the effects of these programs, which began in 2002, 2004, and 2005, respectively.
These were Ordinary Least Squares Regression and the Propensity Score Matching Approach.
Table 2 and Figure 1 represents the results obtained from applying the linear ordinary least squares regression statistical technique (p-value and correlation coefficient r) between the value of outsourcing index (OT, Table 1) by the vehicle manufacturers and the purchases of raw materials, merchandise, jobs done by other firms and external services; the purchases of merchandise and the external services have not proved significant with the outsourcing value.
To test for differences between the two surveys, the samples were combined and separate ordinary least squares regressions were run for men and women.
47) (t-statistics in parentheses) TABLE 2 ORDINARY LEAST SQUARES REGRESSION RESULTS 1 Dependent variable: per capita expenditures1 Population Population (2) Density [R.
He starts with ordinary least squares regression, an obvious and sensible place to begin any discussion of modeling.
The particular regression models were fixed-effect regression models, an extension of ordinary least squares regression that is able to account for both observed and some unobserved variables.
To explore the relationship between jump bidding and car characteristics, an ordinary least squares regression is applied.
Appended are: (A) KIPP Feeder School Cohort Summary; (B) Comparison Students' 6th Grade School of Attendance, By Cohort; (C-1) Summary of Ordinary Least Squares Regression Results for Reading and Mathematics Achievement Scores for Cohort 1; (C-2) Summary of Ordinary Least Squares Regression Results for Reading and Mathematics Achievement Scores for Cohort 2; (C-3) Summary of Ordinary Least Squares Regression Results for Reading and Mathematics Achievement Scores for Cohort 3; (C-4) Summary of Ordinary Least Squares Regression Results for Reading and Mathematics Achievement Scores for Cohort 4; and (D) MSDE-Reported Middle Grades (6th to 8th) Withdrawal Rates for KIPP Ujima Village Academy and Other Charter and Charter-Type Schools.

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