Examples of 'regression equations' in a sentence
Meaning of "regression equations"
regression equations: This term is used in statistics to describe mathematical models that investigate the relationship between a dependent variable and one or more independent variables. Regression equations are used to predict the value of the dependent variable based on the values of the independent variables
How to use "regression equations" in a sentence
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regression equations
Obtain regression equations for scoring new cases.
Peak performance age calculated from regression equations.
Regression equations are used to predict additional map locations.
For oat reliable regression equations could not be made.
Estimate of squid length and weight derived from regression equations.
Use regression equations to make predictions.
Estimate of original lengths and weight of fish derived from regression equations.
You can use regression equations to make predictions.
The results shall be given through systematic diagrams and regression equations.
Linear regression equations are represented.
Calculus is capable of providing more accurate answers if regression equations can be provided.
The resulting regression equations are given in the following table.
Traditionally the mediation model is estimated by estimating a series of multiple regression equations.
A set of regression equations.
The stepwise method was used to include the variables in the multiple linear regression equations.
See also
The specification of the linear regression equations that comprise the model is as follows.
Fish length and weight were reconstructed from dimensions of hard parts using regression equations.
These regression equations may permit a preliminary estimation of the settlement of peaty ground.
The two equations represent the regression equations for the two lines.
These regression equations are then compared with those that have been reported by other investigators.
When you, do the simple regression equations.
A series of logistic regression equations are presented that estimate the risk of low birth weight.
Forecast models are single variable regression equations of the form,.
Regression equations for the construction sector are incorporated into a macroeconomic model of the GTA.
This resulted in the following regression equations for this iteration,.
Regression equations that predict CBD from gap fraction are presented for all six techniques.
To account for this impact in our projections, we employed regression equations.
Regression equations were estimated simultaneously using the Seemingly Unrelated Regression technique.
Conceptually, the model is often viewed as a hierarchical system of regression equations.
The regression equations for the two females were,.
The income variable is, indeed, statistically significant in most of the regression equations.
The regression equations are as follows,.
Because of missing data, the number of subjects included in the regression equations varied.
Why should the regression equations in chapter four be as they are?
Determine length and weight of squid from the appropriate regression equations Ref . 2.
These are the three regression equations you will, you will run.
I just used the results from R, the same results that I got from running three regression equations.
New regression equations were developed from present data to predict for males,.
Said relationship may be expressed e.g. as regression equations.
Thus, the regression equations were underestimating gs for conditions which led to high gs values.
That 's what we have, we have three regression equations.
The regression equations obtained for each age are found in Table 5.
Well, it 's obvious that your victim was working with regression equations.
Estimated using stand-level regression equations Detailed simulation of dynamics and net balance Spatially disaggregated data.
The three methods are means, arithmetic formulae, and regression equations.
For group VI, regression equations were derived for VO2 prediction at several exercise intensities.
For body fat percentage % F, regression equations were applied.
The regression equations are all estimated by means of the Generalized Method of Moments ( GMM ).
Under these assumptions, our basic hedonic regression equations ( 14 ) for period t become.
The regression equations were,.
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