correlation
coorelation
coorelation
Correlation
hypothesis
hypothesis
correlation
correlation.
correlation
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.
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.
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.
In a graph, the y-axis is most closely related to the dependent variable, which is the variable that is affected by changes in the independent variable represented on the x-axis. The y-axis typically shows the outcome or response being measured in the study or experiment. This relationship helps to visualize how the dependent variable responds to variations in the independent variable.