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to determine how strong a correlation is between two variables, we can compute a correlation coefficient or we can check to see if the scatterplot is sloping upward or downward. or we can consider a third variable for the correlation. or we can examine the spread of the scatterplot. or we can see if the dependent variable is different for the experimental group and the control group.
The correlation coefficient quantifies the strength and direction of the linear relationship between two variables. Checking scatter - plot slope gives direction but not strength precisely. Considering a third variable doesn't directly measure the strength between two main variables. Examining scatter - plot spread is not a standard way to measure correlation strength. Comparing dependent variable between experimental and control groups is for testing differences in means, not correlation strength.
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No correct option provided as none of the given options accurately measure the strength of correlation between two variables. The best way is to compute a correlation coefficient.