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What else can I help you with?
If a function uses variables other than x and y for its input and output variables you take the original equation and solve for the output variable to find the inverse?
False
How does a change in the value of an input variable affect the value of an output variable?
The change in the input value is equalto the change in the output value.
What is a inderpendent variable?
Dependent variables and independent variables refer to values that change in relationship to each other. The dependent variables are those that are observed to change in response to the independent variables. The independent variables are those that are deliberately manipulated to invoke a change in the dependent variables. In short, "if x is given, then y occurs", where x represents the independent variables and y represents the dependent variables. Depending on the context, independent variables are also known as predictor variables, regressors, controlled variables, manipulated variables, explanatory variables, or input variables. The dependent variable is also known as the response variable, the regressand, the measured variable, the responding variable, the explained variable, the outcome variable, the experimental variable or the output variable. This answer was coppied onto this page by tom hills of falmouth waii
What is an Dependent varible?
Variables used in an experiment or modelling can be divided into three types: "dependent variable", "independent variable", or other.The "dependent variable" represents the output or effect, or is tested to see if it is the effect.The "independent variables" represent the inputs or causes, or are tested to see if they are the cause. Other variables may also be observed for various reasons.
What is an dependent?
Variables used in an experiment or modelling can be divided into three types: "dependent variable", "independent variable", or other.The "dependent variable" represents the output or effect, or is tested to see if it is the effect.The "independent variables" represent the inputs or causes, or are tested to see if they are the cause. Other variables may also be observed for various reasons.
What is a imput variable?
An input variable, often referred to as an independent variable, is a factor or element that is manipulated or controlled in an experiment or model to observe its effect on an output variable or dependent variable. In the context of statistical analysis or machine learning, input variables are the features or predictors used to make predictions or draw conclusions. These variables can be quantitative or categorical and play a crucial role in determining the relationships and patterns within the data.
Which variable is also called the dependent variable?
Output variable
Why law of variable proportion applies to mathematics?
The law of variable proportions, often discussed in economics, describes how the output of production changes as one input variable is modified while others remain constant. In mathematics, this concept can be applied to analyze relationships between variables in functions, particularly in calculus and optimization. For example, by examining how changes in one variable affect the output of a function, mathematicians can derive insights about marginal returns, similar to how the law of variable proportions informs economic production processes. Thus, both fields explore the dynamics of change and proportionality in their respective contexts.
Is the output variable the independent variable?
No, it usually is not.
As output increases total variable costs?
If the output increases, so will the variable cost. Though, variable cost is not directly proportionate to the output, still it will witness an incline.
How can an input output table help you?
By providing multiple answers to the same equation using different variables..
What is linguistic variable?
A linguistic variable is a concept in fuzzy logic that allows for the representation of qualitative terms as variables, such as "high," "medium," and "low," instead of precise numerical values. It enables the modeling of uncertainty and vagueness in a system by using linguistic terms to describe the input and output variables. Linguistic variables are essential for fuzzy logic systems to make decisions based on human-like reasoning.
