Yes, unless the chart is generated by a VB macro.
Yes, the dependent variable changes based on the independent variable in an experiment or study. The independent variable is manipulated or controlled to observe its effect on the dependent variable, which is measured or recorded. This relationship helps researchers understand how variations in the independent variable influence outcomes in the dependent 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.
A dependent variable is one that changes based on changes of the independent variable. Or we can say it depends on whatever happens to the independent variable.
Non-examples of a dependent quantity include constants or independent variables that do not change in response to other factors. For instance, the number of apples in a basket remains constant regardless of the weather, or the price of a product that does not fluctuate based on demand. In these cases, the quantities do not rely on other variables, thus illustrating what a dependent quantity is not.
Variables that change based on the input value are often referred to as dependent variables. They rely on the values of independent variables or inputs to determine their own values. In mathematical functions, for example, the output (dependent variable) varies as the input (independent variable) changes. This relationship is fundamental in fields like science, economics, and statistics, where understanding how variables interact is crucial for analysis and prediction.
It will immediately redraw the chart based on the new value
Yes, the dependent variable changes based on the independent variable in an experiment or study. The independent variable is manipulated or controlled to observe its effect on the dependent variable, which is measured or recorded. This relationship helps researchers understand how variations in the independent variable influence outcomes in the dependent variable.
The dependent variable is the outcome or response in an experiment that is being measured and analyzed. It is the variable that is expected to change based on the manipulation of 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.
the dependent variable changes based on the independent variable
No, sound velocity does not change based on sound frequency in a uniform medium. In a medium with a constant temperature and pressure, the speed of sound remains constant regardless of the frequency of the sound waves.
In the sentence, the independent variable is the type of surface (grass or dirt) on which the ball is rolling. The dependent variable is the speed of the ball's roll, as it is expected to change based on the surface type.
The IDS method that is operating system dependent is Network Based
A dependent variable is one that changes based on changes of the independent variable. Or we can say it depends on whatever happens to the independent variable.
LDR stands for Light Dependent Resistor. It is a type of resistor that changes its resistance based on the amount of light that falls on it. This change in resistance allows LDRs to be used in light-sensitive applications, such as automatic lighting controls.
Non-examples of a dependent quantity include constants or independent variables that do not change in response to other factors. For instance, the number of apples in a basket remains constant regardless of the weather, or the price of a product that does not fluctuate based on demand. In these cases, the quantities do not rely on other variables, thus illustrating what a dependent quantity is not.
The number of times the clothespin can be squeezed in 1 minute is the dependent variable in this experiment. It is the outcome that is measured and expected to change based on the independent variable, which in this case is the exercise.