Sentence examples for multiple regression is from inspiring English sources

The "style" variation they incorporate in their model thanks to multiple regression is the quantitative variations of speed and stride length.

In order to analyze data methods of descriptive statistics such as frequency, arithmetic means, standard deviations (SD), ratios, crosstabs; and a multiple regression is used.

There are thus two values that can be controlled but multiple regression is not suited for expressivity modeling which can hardly be quantified with a numerical value.

Multiple regression is appropriate for this analysis to estimate the unique variance explained by each variable, when all other variables are held constant (Aiken et al. 1991).

After the tree has been grown, a linear multiple regression is built for every inner node using the data associated with that node and all the attributes that participate for tests in the subtree to that node.

Indeed, the Y vector of n observations of a single Y variable in linear multiple regression is replaced by a Y-matrix of n observations of k different Y variables, and, similarly, the β vector of regression coefficients is transformed.

Hierarchical multiple regression was employed to test the other hypotheses.

Stepwise multiple regression was used for selecting significant predictive variables.

Multiple regression was used to identify the drivers best describing the variation in σpc data.

ANFIS and stepwise multiple regression were used to predict the soil moisture.

To answer the second question posed in the introduction, a multiple regression was performed.