Results 201 to 210 of about 935,587 (245)
Some of the next articles are maybe not open access.
International Journal of Injury Control and Safety Promotion, 2018
Simple linear regression models study the relationship between a single continuous dependent variable Y and one independent variable X (Bangdiwala, 2018).
openaire +2 more sources
Simple linear regression models study the relationship between a single continuous dependent variable Y and one independent variable X (Bangdiwala, 2018).
openaire +2 more sources
2014
This chapter provides an overview of multiple linear regression, a statistical technique that predicts values of a quantitative dependent variable from values of two or more independent variables. By including more than one independent variable, a multiple linear regression can often account for more variability in the dependent variable than can a ...
William H. Holmes, William C. Rinaman
openaire +1 more source
This chapter provides an overview of multiple linear regression, a statistical technique that predicts values of a quantitative dependent variable from values of two or more independent variables. By including more than one independent variable, a multiple linear regression can often account for more variability in the dependent variable than can a ...
William H. Holmes, William C. Rinaman
openaire +1 more source
2007
This chapter describes multiple linear regression, a statistical approach used to describe the simultaneous associations of several variables with one continuous outcome. Important steps in using this approach include estimation and inference, variable selection in model building, and assessing model fit.
openaire +2 more sources
This chapter describes multiple linear regression, a statistical approach used to describe the simultaneous associations of several variables with one continuous outcome. Important steps in using this approach include estimation and inference, variable selection in model building, and assessing model fit.
openaire +2 more sources
Journal of Quality Technology, 1971
(1971). Multiple Linear Regression. Journal of Quality Technology: Vol. 3, No. 4, pp. 184-189.
openaire +1 more source
(1971). Multiple Linear Regression. Journal of Quality Technology: Vol. 3, No. 4, pp. 184-189.
openaire +1 more source
1991
The multiple linear regression model is the most commonly applied statistical technique for relating a set of two or more variables. In Chapter 3 the concept of a regression model was introduced to study the relationship between two quantitative variables X and Y.
openaire +1 more source
The multiple linear regression model is the most commonly applied statistical technique for relating a set of two or more variables. In Chapter 3 the concept of a regression model was introduced to study the relationship between two quantitative variables X and Y.
openaire +1 more source
1987
The multiple linear regression model describes the relationship between a response variable y and a number of explanatory variables x1,…xp,p≥2. A multiple regression analysis is an analysis of a data set composed of n cases (yi,xi1,…xip), i=1,…,n, where each case consists of joint observations of the response variable and the explanatory variables as ...
Erling B. Andersen +2 more
openaire +1 more source
The multiple linear regression model describes the relationship between a response variable y and a number of explanatory variables x1,…xp,p≥2. A multiple regression analysis is an analysis of a data set composed of n cases (yi,xi1,…xip), i=1,…,n, where each case consists of joint observations of the response variable and the explanatory variables as ...
Erling B. Andersen +2 more
openaire +1 more source
A study over the general formula of regression sum of squares in multiple linear regression
Numerical Methods for Partial Differential Equations, 2021Mehmet Korkmaz
exaly