independent variable

The regression model is then used to predict the result of an unknown dependent variable, given the values of the independent variables.

It is, of course, very important for students to understand the potential consequences of having highly correlated independent variables.

In the sample, none of the independent variables is constant, and there are no exact linear relationships among the independent variables.

One of a set of independent variables that express the coordinates of a point.

That means that the total number of independent variables we have is just two.

The key problem for an equilibrium system is to stipulate its state and define several independent variables.

The incidence of positive symptom was produced by the combination of the independent variables (endogenous variable ).

age and language proficiency bear significant interactive effect among the three independent variables.

In order not to increase the labor costs of enterprises, we select pay policy and work value fit as the independent variables.

A number of primary independent variables influencing pedestrian LOS was identified and tested in the stepwise regression analysis.

In this study organizational citizenship behavior is dependent variables and personal motives and other factors are independent variables.

Baseline clinical and dialysis data and serum biochemistries were used as independent variables.

IMF and other think tanks estimate property valuation by building a model with independent variables like rent, interest rate, income, etc.

mutation type, PS, and brain metastases were independent variables for survival.

Accordingly, a regression model with virtual independent variables is built to forecast the demand of human resourses.

The independent variables were stroke frequency and font.

So two minus two plus two, F Two degrees of freedom, two independent variables.

Factor analysis method is applied on the 31-dimension vector to get independent variables.

So there'll be two in this case rather than four independent variables.

So these are a priori the independent variables that we have to work with.

The Gibbs phase rule tells you the number of independent variables given a number of constraints.

What is wrong? Well, we don't have actually four independent variables.

And finally, last but not least, we have seen how to deal with non-independent variables.

Reducing the number of steps by taking advantage of independent variables

Using Noise to Judge Independent Variables Number in Multi-variables Statistical Analysis

The Tree Approach of Linear Regression Models with Categorical Independent Variables

Research on the Some question about selection of independent variables

overlay of maps of dependent and independent variables;

The level of each independent variables

The shortest path computation with neural network based on independent variables

Bayes discriminant model of credit risk based on independent variables'step-by-step test

The Model with k Independent Variables