The values of the slope of a line is a measure of the amount of change in the dependent (vertical) variable which accompanies a unit change in the ndependent (horizontal) variable.
It is usual to plot the values of the dependent variable on the y-axis. That is what you measure when you change something else, the independent variable.
Not exactly sure what you mean by "can't change." However, I if I do understand you correctly, the dependent variable CAN change. The dependent variable will change according to the independent variable's value and overall effect. For example, in an experiment involving water's effect on plants, the dependent variable may be the height of the plant or the glucose produced. Based on the amount of the independent variable (represented on the x axis of a data graph), the dependent variable will increase or decrease. In this case, both dependent values (glucose and height) would probably increase.
no because you don't controll it but if you change the independent the dependent will change.
Independent variables are variables that can be changed in an experiment, while dependent variables are variables that change as a result of an experiment. In other words, independent variables are what you change, and dependent variables are the results of the experiment.
The values of the slope of a line is a measure of the amount of change in the dependent (vertical) variable which accompanies a unit change in the ndependent (horizontal) variable.
It is usual to plot the values of the dependent variable on the y-axis. That is what you measure when you change something else, the independent variable.
The dependent variable is influenced by changes in the independent variable. The dependent variable's values depend on the values of the independent variable. This relationship is often explored through statistical analysis in research studies.
Not exactly sure what you mean by "can't change." However, I if I do understand you correctly, the dependent variable CAN change. The dependent variable will change according to the independent variable's value and overall effect. For example, in an experiment involving water's effect on plants, the dependent variable may be the height of the plant or the glucose produced. Based on the amount of the independent variable (represented on the x axis of a data graph), the dependent variable will increase or decrease. In this case, both dependent values (glucose and height) would probably increase.
Yes, the dependent variable is the one that is being measured or tested in an experiment, and its values are expected to change in response to manipulations of the independent variable. The relationship between the independent and dependent variables is the main focus of a scientific study.
no because you don't controll it but if you change the independent the dependent will change.
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.
Independent variables are variables that can be changed in an experiment, while dependent variables are variables that change as a result of an experiment. In other words, independent variables are what you change, and dependent variables are the results of the experiment.
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.
Dependent variable change and independent variables do not change.
the independent variable is usually assigned to x the dependent variable is usually assigned to y their values will vary because they are variables. that is the definition of variable
Traditionally y is a function of x and hence it is dependent. Graphically as well various values of x result in corresponding values of y; showing the dependence of y on x.