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Answer :
Making a scatter diagram before calculating the correlation coefficient is a good idea because it visually represents the relationship between two variables, allowing for a better understanding and interpretation of the correlation coefficient.
A scatter diagram plots the values of one variable on the x-axis and the corresponding values of another variable on the y-axis. Each data point is represented by a dot on the graph, and the overall pattern formed by the dots provides insights into the relationship between the variables. By examining the scatter diagram, we can observe the direction and strength of the relationship, identify any potential outliers or nonlinear patterns, and gain a general sense of the correlation between the variables. The scatter diagram helps in determining if there is a linear relationship between the variables, which is a prerequisite for calculating the correlation coefficient
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