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Match each correlation coefficient to the appropriate scatter plot. The line in each scatter plot is the least squares regression line. fo1 80- 52 504 40 3 30 24 19 18- 12 12 22 300 316 19 54 18 5 18 UN 30 18 54 60
Match each correlation coefficient to the appropriate scatter plot. The line in each scatter plot is the least squares regression line. fo1 80- 52 504 40 3 30 24 19 18- 12 12 22 300 316 19 54 18 5 18 UN 30 18 54 60
The scatter plot on the left with a positive slope corresponds to a correlation coefficient of 0.6, while the scatter plot on the right with a negative slope corresponds to a correlation coefficient of -0.9.The image you sent me shows three scatter plots and two correlation coefficients. The task is to match each correlation coefficient to the appropriate scatter plot.Here's how to do it:Look at the direction of the slope in the scatter plot. A positive slope means the correlation coefficient is positive, while a negative slope means the correlation coefficient is negative. The strength of the slope also matters: a steeper slope means a stronger correlation, either positive or negative.Consider the range of the correlation coefficient. It can range from -1 to 1. A value of 1 indicates a perfect positive correlation, meaning the data points lie on a straight line with a positive slope. A value of -1 indicates a perfect negative correlation, meaning the data points lie on a straight line with a negative slope. A value of 0 indicates no correlation, meaning there is no linear relationship between the two variables.Based on these guidelines, we can match the correlation coefficients to the scatter plots as follows:The scatter plot on the left has a positive slope, and the data points are not very tightly clustered around the regression line. This suggests a moderate positive correlation, so the appropriate correlation coefficient is 0.6.The scatter plot on the right has a negative slope, and the data points are tightly clustered around the regression line. This suggests a strong negative correlation, so the appropriate correlation coefficient is -0.9.The graph is attached with the answer...