Question

AS1: Correlation Please write "true" if the statement is true and "false" if the statement is false in the space provided. 1. If decreases in the X variable are accompanied by decreases in the Y variable, then the correlation between X and Y is positive 2. If the value of the Pearson correlation is r = 1, then all data points on a scatter plot fit perfectly on a straight line 3. A Pearson negative correlation of r = -1.00 means that all the data points fit perfectly on a straight line, but a positive correlation of r = 1.00 would not have all of its data points fit a perfectly straight line. 4. A correlation of r = -0.72 means that there is essentially no consistent relationship between X and Y 5. __ For a negative correlation, decreases in X tend to be accompanied by increases in Y.

          AS1: Correlation
Please write "true" if the statement is true and "false" if the statement is false in the space
provided.
1. ______ If decreases in the X variable are accompanied by decreases in the Y variable, then the
correlation between X and Y is positive
2. ______ If the value of the Pearson correlation is r = 1, then all data points on a scatter plot fit
perfectly on a straight line
3. ______ A Pearson negative correlation of r = -1.00 means that all the data points fit perfectly
on a straight line, but a positive correlation of r = 1.00 would not have all of its data points fit a
perfectly straight line.
4. ______ A correlation of r = -0.72 means that there is essentially no consistent relationship
between X and Y
5. ______ For a negative correlation, decreases in X tend to be accompanied by increases in Y.

AS1: Correlation
Please write "true" if the statement is true and "false" if the statement is false in the space
provided.
1. If decreases in the X variable are accompanied by decreases in the Y variable, then the
correlation between X and Y is positive
2. If the value of the Pearson correlation is r = 1, then all data points on a scatter plot fit
perfectly on a straight line
3. A Pearson negative correlation of r = -1.00 means that all the data points fit perfectly
on a straight line, but a positive correlation of r = 1.00 would not have all of its data points fit a
perfectly straight line.
4. A correlation of r = -0.72 means that there is essentially no consistent relationship
between X and Y
5. For a negative correlation, decreases in X tend to be accompanied by increases in Y.

Added by Albert J.

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