spread sheet
A scatter graph.
When the graph of best fit is a straight line, the relationship between the dependent and independent variables is linear. This indicates that as the independent variable changes, the dependent variable changes at a constant rate. In other words, a change in the independent variable results in a proportional change in the dependent variable. This linear relationship can often be expressed with the equation of a line, typically in the form (y = mx + b), where (m) is the slope and (b) is the y-intercept.
If the line of best fit on a linear graph is horizontal, it indicates that there is no correlation between the variables being analyzed. This means that changes in the independent variable do not affect the dependent variable, suggesting a constant value for the dependent variable across different levels of the independent variable. Essentially, the relationship is flat, indicating stability or lack of influence.
line graph
An independent variable is a factor or condition in an experiment that is deliberately manipulated or changed by the researcher to observe its effect on a dependent variable. It is considered the "cause" in a cause-and-effect relationship, allowing researchers to test hypotheses and establish correlations. The independent variable is typically plotted on the x-axis in a graph.
the dependent variable has one value and the independent variable has no value
A scatter graph.
When the graph of best fit is a straight line, the relationship between the dependent and independent variables is linear. This indicates that as the independent variable changes, the dependent variable changes at a constant rate. In other words, a change in the independent variable results in a proportional change in the dependent variable. This linear relationship can often be expressed with the equation of a line, typically in the form (y = mx + b), where (m) is the slope and (b) is the y-intercept.
If the line of best fit on a linear graph is horizontal, it indicates that there is no correlation between the variables being analyzed. This means that changes in the independent variable do not affect the dependent variable, suggesting a constant value for the dependent variable across different levels of the independent variable. Essentially, the relationship is flat, indicating stability or lack of influence.
line graph
The independent variable is what you are changing in the experiment to get varied results. The dependent variable is the result of what you have changed. So the dependent variable depends on the independent variable. For example, if you are experimenting with the effect of water on height of a plant, the different amounts of water that you give the plant is the independent variable. The height of the plant that you measure as the result of the water is the dependent variable.
An independent variable is a factor or condition in an experiment that is deliberately manipulated or changed by the researcher to observe its effect on a dependent variable. It is considered the "cause" in a cause-and-effect relationship, allowing researchers to test hypotheses and establish correlations. The independent variable is typically plotted on the x-axis in a graph.
Independent: The heat Dependent: The result
An independent variable is the factor that is manipulated or changed by the researcher in an experiment to observe its effect on the dependent variable. It is the variable that is thought to cause a change in the dependent variable.
The dependent variable is the variable in the experiment that changes. For example if you were trying to figure out which of the three fertilizers works the best on flowers your dependent variable would be the fertilizer and the independent variable would be the flowers. If that doesn't help go to factmonster.com
The factor in an experiment that responds to the manipulated variable
Im guessing that this is a distance over time graph. if so, the gradient of the line of best fit would have a low value. (not be very steep)