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Which graph is best for analyzing quantitive independent and dependent variables?
line graph
What do you call the two variables you graph on a coordinate 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.
What term describes the relationship in which the dependent and independent variables in a graph both increase?
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.
Which graph showing constant acceleration correctly places the independent and dependent variables?
Since we cannot see the graph you're looking at, we can't answer the question.
Where do you put the independent and dependent variables on a graph?
The independent variable is along the bottom or horizontal or x axis. The dependent variable is up the left hand side or vertical or y axis
Which graph is best for analyzing quantitive independent and dependent variables?
line graph
The scale in a graph is determined by?
The scale in a graph is determined by the range of the dependent and independent variables.
What do you call the two variables you graph on a coordinate 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.
What type of graph is most useful for making predictions about dependent 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.
How can you identify the dependent and independent variables in a real world situation molded by a graph?
To identify the dependent and independent variables in a graph, first look at the axes: the independent variable is typically plotted on the x-axis, while the dependent variable is on the y-axis. The independent variable is the one that is manipulated or changed to observe its effect, while the dependent variable responds to those changes. For example, in a graph showing the relationship between hours studied (independent) and exam scores (dependent), the exam scores depend on the number of hours studied. Observing the trend or pattern in the graph can also help clarify how these variables interact.
When the graph of best fit is a straight line the dependent and independent variables have what kind of relationship?
the dependent variable has one value and the independent variable has no value
What term describes the relationship in which the dependent and independent variables in a graph both increase?
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 what?
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.
On a graph of two variables which is the variable that causes changes in the other?
The independent variable causes changes in the dependent variable; the dependent variable is contingent on the manipulations of the independent variable.
What are the differences between independent and dependent variables?
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.
How do the independent and dependent variables in an experiment compare?
the independent variable controls the dependent variables
Which graph showing constant acceleration correctly places the independent and dependent variables?
Since we cannot see the graph you're looking at, we can't answer the question.
