| Author: | Teresa Patricia | ISBN: | 9781486427840 |
| Publisher: | Emereo Publishing | Publication: | October 24, 2012 |
| Imprint: | Emereo Publishing | Language: | English |
| Author: | Teresa Patricia |
| ISBN: | 9781486427840 |
| Publisher: | Emereo Publishing |
| Publication: | October 24, 2012 |
| Imprint: | Emereo Publishing |
| Language: | English |
Here's part of the content - you would like to know it all? Delve into this book today!..... : An independent variable is also known as a predictor variable, regressor, controlled variable (but see below), manipulated variable, explanatory variable, exposure variable (see reliability theory), risk factor (see medical statistics), feature (see machine learning and pattern recognition) or an input variable.
... If the independent variable is referred to as an explanatory variable (see above) then the term response variable is preferred for the dependent variable.
... In modelling, variability that is not covered by the explanatory variable is designated by and is known as the residual, side effect, error, unexplained share, residual variable, or tolerance.
... In a study measuring the influence of different quantities of fertilizer on plant growth, the independent variable would be the amount of fertilizer used.
There is absolutely nothing that isn't thoroughly covered in the book. It is straightforward, and does an excellent job of explaining all about Dependent and independent variables in key topics and material. There is no reason to invest in any other materials to learn about Dependent and independent variables. You'll understand it all.
Inside the Guide: Dependent and independent variables, Variable (mathematics)
Here's part of the content - you would like to know it all? Delve into this book today!..... : An independent variable is also known as a predictor variable, regressor, controlled variable (but see below), manipulated variable, explanatory variable, exposure variable (see reliability theory), risk factor (see medical statistics), feature (see machine learning and pattern recognition) or an input variable.
... If the independent variable is referred to as an explanatory variable (see above) then the term response variable is preferred for the dependent variable.
... In modelling, variability that is not covered by the explanatory variable is designated by and is known as the residual, side effect, error, unexplained share, residual variable, or tolerance.
... In a study measuring the influence of different quantities of fertilizer on plant growth, the independent variable would be the amount of fertilizer used.
There is absolutely nothing that isn't thoroughly covered in the book. It is straightforward, and does an excellent job of explaining all about Dependent and independent variables in key topics and material. There is no reason to invest in any other materials to learn about Dependent and independent variables. You'll understand it all.
Inside the Guide: Dependent and independent variables, Variable (mathematics)
