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When an experiment shows that one variable makes another variable change and no other variables have any effect the experiment shows what?
causation
Which equation shows a linear relationship between the variables stated?
The equation in which the variables appear only to the first power, including in no denominators.
When an experiment shows that's one variable makes another variable change and no other variables have any effect the experiment shows?
The experiment shows exactly what your title says!
What relationship does a linear graph shows?
A linear graph shows a linear equation in which the value of one variable depends on the value of the other variable.
What is the diagram that shows how two variables are related?
nope
When an experiment shows that two variable ate closely related the experiment shows?
that there is a strong correlation between the two variables. This suggests that a change in one variable is associated with a change in the other variable. However, correlation does not imply causation, so further experiments are needed to establish if there is a causal relationship between the variables.
When a n experiment shows that two variables are closely related the experiment shows?
that there is a strong correlation between the two variables. This means that as one variable changes, the other variable is likely to change in a consistent way. This correlation can suggest a cause-and-effect relationship between the variables, but further research is needed to establish causation.
When an experiment shows that one variable makes another variable change and no other variables have an effect the experiment shows?
causation
When an experiment shows that two variable are closely related what does the experiment show?
The experiment shows that there is a correlation between the two variables, meaning that as one variable changes, the other variable changes in a consistent way. However, it does not necessarily establish a cause-and-effect relationship between the variables. Further analysis is needed to determine causation.
When an experiment shows that two variable are closely related that experiment shows?
that there is a correlation between the two variables. However, correlation does not imply causation, so it is important to further investigate to determine the nature of the relationship between the variables.
When an experimental shows that one variable makes another variable change and no variables have any affect the experiment shows?
The experiment shows a causal relationship between the two variables, where changes in one variable directly impact the other without interference from any other variables. This suggests a clear cause-and-effect relationship between the variables being studied.
When an experiment shows that one variable makes another variable change and no other variables have any effect the experiment shows what?
causation
When an experiment shows that one variable makes another variable change and no other variables have any effect the experiment shows .?
causation
What type of graph shows a direct relationship between variables?
type the equation that shows the relationship between the variables in this chart.
What does an experiment show when it show that two variables are closely related?
When an experiment shows that two variables are closely related, it suggests that changes in one variable are associated with predictable changes in the other variable. This can indicate a causal relationship between the variables, where one variable directly influences the other. However, it is important to consider other factors and conduct further research to establish a robust understanding of the relationship.
Which equation shows a linear relationship between the variables stated?
The equation in which the variables appear only to the first power, including in no denominators.
When an experiment shows that one variable makes another variable change the experiment shows?
that there is a relationship between the two variables. This relationship can be used to predict how changes in one variable will affect the other variable.
