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1. A value of r = 0.851 shows that there is very little relationship between the two variables being compared. 2. A value of r = 0.158 shows that there is very little relationship between the two variables being compared. 3. If a correlation coefficient of r = 0.642 was found between two variables in a sample of paired data that were measured in feet, the value of r would change by a factor of twelve if the data were converted to inches and r was computed again. 4. A test of independence can be used to determine a cause-and-effect link between the variables being studied.

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