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In a graph, the independent variable is typically placed on the x-axis (horizontal axis), while the dependent variable is placed on the y-axis (vertical axis). This arrangement helps to illustrate how changes in the independent variable affect the dependent variable. By convention, the independent variable is manipulated or controlled, while the dependent variable is measured in response.

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16h ago

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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.


Where are the Dependent and independent variable placed on a graph?

Dependent variable take on X-axis and independent variable take on Y-axis in a graph.


How to graph independent and dependent variables?

The answer depends on the nature of the variables: for a start, whether they are qualitative or quantitative.


How is the dependent and independent variable of an experiment displayed on a graph?

The Independent variable is placed on the x-axis and the dependent variable is placed on the y- axis


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.


Where are the dependent and independent variables located on a graph explain with example?

The independent variable (such as time) is places on the x-axis of a graph. Always place the things that will never change on the x-axis. The dependent variable is then placed on the y-axis. The difference between the independent and dependent variable is that the independent variable in an experient does not change it is what stays constent, it is what is used to measure the dependent variable. On the other hand the dependent variable is what the experiment is testing for and what depends on the independent variable.


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.


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.


What is the independent variable on graphs?

it is the variable that you change during an experiment and is placed on the x axis. for example, if you are checking for the effect of light intensity on water uptake by a plant, the independent variable is the different light intensity values that you have and the dependent variable is the rate of water uptake which will be on the y axis.