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Which type of graph is best for analyzing quantitative dependent and independent variable?
A scatter graph.
When the graph of best fit is a straight line the dependent and independent variables are?
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.
What conclusion can you draw if the line of best if the of best fit on a linear graph does not slope eit her up or down but is horizontal?
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.
Which graph is best for analyzing quantitive independent and dependent variables?
line graph
What statement best describes an independent 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.
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
Which type of graph is best for analyzing quantitative dependent and independent variable?
A scatter graph.
When the graph of best fit is a straight line the dependent and independent variables are?
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.
What conclusion can you draw if the line of best if the of best fit on a linear graph does not slope eit her up or down but is horizontal?
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.
Which graph is best for analyzing quantitive independent and dependent variables?
line graph
What best describes the relationship between a dependent variable and an independent variable in a scientific investigation?
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.
What statement best describes an independent 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.
What is the dependent and independent variable for which material conserve heat best paper cotton and aluminum foil?
Independent: The heat Dependent: The result
Which of the following is the best description of an independent variable?
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.
What is 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
What best describes the dependent variable in an experiment?
The factor in an experiment that responds to the manipulated variable
How would you describe the slope of a graph showing slow speed?
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)
