If one of the variables affects the outcome of the other but not the other way around, then the one that is affected is the dependent and the other is independent.
iron is a better thermal conductor but i do not know what you mean by identify independent or dependent variables. in an experiment? i am not sure.
If changes in one variable do not affect the outcome of another variable, then the second variable is independent. A variable that is not independent is dependent.
When you do an experiment the variable you control is the independent variable, and the variable you measure is the dependent variable. The independent variable is controlled by the experimenter; the dependent variable is measured. In this case, corporate social responsibility is the independent variable, and the others are dependent variables.
hi well you are very stupid for not knowing ask your dang on teacher stupid
Yes, equations can be represented in the form of functions, which clearly delineates independent and dependent variables. In a function notation, such as ( y = f(x) ), ( x ) is the independent variable and ( y ) is the dependent variable, making it easier to identify their relationship. Additionally, using a clear format like ( y = mx + b ) for linear equations helps in recognizing how changes in the independent variable affect the dependent variable. This structured representation enhances understanding and analysis of the relationship between variables.
how do u identify a independent variable
iron is a better thermal conductor but i do not know what you mean by identify independent or dependent variables. in an experiment? i am not sure.
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.
If changes in one variable do not affect the outcome of another variable, then the second variable is independent. A variable that is not independent is dependent.
iron is a better thermal conductor but i do not know what you mean by identify independent or dependent variables. in an experiment? i am not sure.
A situation-relevant confounding variable is a third variable that is related to both the independent and dependent variables being studied, which can lead to a spurious relationship between them. It is crucial to identify and control for situation-relevant confounding variables in research to ensure that the true relationship between the variables of interest is accurately captured.
When you do an experiment the variable you control is the independent variable, and the variable you measure is the dependent variable. The independent variable is controlled by the experimenter; the dependent variable is measured. In this case, corporate social responsibility is the independent variable, and the others are dependent variables.
hi well you are very stupid for not knowing ask your dang on teacher stupid
Variables. A dependant variable is dependent upon the independent variable - it is usually the unit that you are measuring eg mL, degrees, m etc.An independent variable is what youa re measuring - generally a question, object etc.When writing an experiment, it is important to identify these variables, as teachers like to mark them.
Yes, equations can be represented in the form of functions, which clearly delineates independent and dependent variables. In a function notation, such as ( y = f(x) ), ( x ) is the independent variable and ( y ) is the dependent variable, making it easier to identify their relationship. Additionally, using a clear format like ( y = mx + b ) for linear equations helps in recognizing how changes in the independent variable affect the dependent variable. This structured representation enhances understanding and analysis of the relationship between variables.
The term you're looking for is "categorical independent variable." This type of independent variable consists of distinct categories or groups that researchers use to compare differences in dependent variables. By analyzing the varying effects of these categories, researchers can identify patterns and relationships within the data.
A scatter plot is commonly used to show the relationship between dependent and independent variables. In this graph, individual data points represent observations, with the independent variable plotted on the x-axis and the dependent variable on the y-axis. This visual representation helps to identify trends, correlations, or patterns in the data. Additionally, a line of best fit may be added to illustrate the overall relationship.