The term that describes the relationship in which both the dependent and independent variables in a graph increase is called a "positive correlation." In a positively correlated relationship, as the independent variable increases, the dependent variable also tends to increase, indicating a direct relationship between the two. This is often represented by an upward-sloping line on a graph.
Every time the independent variables change, the dependent variables change.Dependent variables cannot change if the independent variables didn't change.
Independent variables are those that you change in an experiment. Dependent variables are the ones that you measure in an experiment. Dependent variables are influenced by the independent variables that you change, so they are dependent upon the independent variable. Generally, experiments should have only one independent variable.
True.
Independent changes; the dependent variable is what you will measure.
Independent variables are the input value of a function (usually x) and dependent variables are the output value of the function (usually y).
The types of variables according to functional relationship are independent variables and dependent variables. Independent variables are inputs that are manipulated or controlled in an experiment, while dependent variables are the outputs that are affected by changes in the independent variables.
Depends on the relationship between the independent and dependent variables.
It depends on the relationship, if any, between the independent and dependent variables.
The hypothesis is the element of a lab report that accurately describes the experiment or problem and includes the independent and dependent variables. It provides a testable prediction of the relationship between the variables being studied.
dependent variable is current and independent variable is resisitance
Independent and dependent are types of variables. These variables are used mostly in science and math. When using independent variables you can control them dependent variables you cannot.
Independent variables can take values within a given boundary. The dependent variable will take values based on the independent variable and a given relationship at which the former can take its values.
Depends on the experiment - there may be no relationship. Typically proportional, inversly proportional, proportional to the log and similar are given in set experiments at schools. So a staight line going up and straingt line going down or a curve of some sort when drawn as a line graph.
Independent variables can take values within a given boundary. The dependent variable will take values based on the independent variable and a given relationship at which the former can take its values.
the independent variable controls the dependent variables
control
the dependent variable has one value and the independent variable has no value