The answer depends on the nature of the variables: for a start, whether they are qualitative or quantitative.
line graph
The two variables graphed on a coordinate graph are typically referred to as the independent variable and the dependent variable. The independent variable is plotted on the x-axis, while the dependent variable is plotted on the y-axis. This arrangement allows you to observe how changes in the independent variable affect the dependent variable.
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.
Since we cannot see the graph you're looking at, we can't answer the question.
line graph
The scale in a graph is determined by the range of the dependent and independent variables.
A regression graph is most useful for predicting dependent variables, as it shows the relationship between the independent and dependent variables, allowing for the prediction of future values.
The two variables graphed on a coordinate graph are typically referred to as the independent variable and the dependent variable. The independent variable is plotted on the x-axis, while the dependent variable is plotted on the y-axis. This arrangement allows you to observe how changes in the independent variable affect the dependent variable.
the dependent variable has one value and the independent variable has no value
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.
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.
The independent variable causes changes in the dependent variable; the dependent variable is contingent on the manipulations of the independent variable.
Independent variables are controlled or manipulated by the researcher to determine their effect on the dependent variable. Dependent variables, on the other hand, are the outcome or response that is measured in an experiment. The independent variable causes a change in the dependent variable.
the independent variable controls the dependent variables
Every time the independent variables change, the dependent variables change.Dependent variables cannot change if the independent variables didn't change.
Since we cannot see the graph you're looking at, we can't answer the question.