Answer :
In the context of a scatter diagram, the closer data points are to a straight line, the more closely the two variables are related.
This straight line is known as the line of best fit, which is a graphical representation of the correlation between two variables. The line of best fit is calculated by finding the slope and intercept of the line that minimizes the distance between the line and all of the data points. If the data points are tightly clustered around the line of best fit, it indicates a strong correlation between the two variables. Conversely, if the data points are widely scattered and do not follow a clear pattern, it suggests that there is no correlation or a weak correlation between the two variables. The strength of the correlation between two variables can also be quantified using a correlation coefficient, which ranges from -1 to 1. A correlation coefficient of -1 indicates a perfect negative correlation, while a coefficient of 1 indicates a perfect positive correlation. A coefficient of 0 indicates no correlation between the two variables. Therefore, in summary, the closer data points are to a straight line in a scatter diagram, the more closely the two variables are related, indicating a strong correlation between the two variables.
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