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19 Cards in this Set
- Front
- Back
- 3rd side (hint)
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The independent variable (x) causes variation in the:
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independent variable (y).
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The correlation coefficient (r) measures both the strength and direction of:
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the relationship between x and y.
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x and y = the independent and dependent variables.
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The horizontal axis is known as the:
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x axis.
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The vertical axis is known as the:
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y axis.
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List the four types of possible correlation.
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1. Positive Linear Correlation (uphill from left to right)
2. Negative Linear Correlation (downhill from left to right) 3. No correlation (dots are scattered with no detectable pattern) 4. Nonlinear Correlation (pattern is there, but not linear) |
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Values of r range between:
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-1.0 and +1.0.
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When r (correlation coefficient) is positive, the relationship between x and y is:
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positive.
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When r (correlation coefficient) is negative, the relationship between x and y is:
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negative.
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A correlation coefficient (r) is close to 0, it is evident that:
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there is no relationship between x and y.
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A perfect positive correlation between x and y has an (r) that = :
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+1.0.
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A perfect negative correlation between x and y has an (r) that = :
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-1.0.
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A correlation greater than 0.8 is generally described as ____, whereas a correlation less than 0.5 is generally described as ____.
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strong,
weak |
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The value of r is such that ____.
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-1 < r < +1
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The + and – signs are used for positive linear correlations and negative linear correlations, respectively.
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If x and y have a strong positive linear correlation, r is close to __.
An r value of exactly +1 indicates a perfect positive fit. Positive values indicate a relationship between x and y variables such that as values for x increases: |
+1,
values for y also increase. |
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If x and y have a strong negative linear correlation, r is close to __.
Negative values indicate a relationship between x and y such that as values for x increase: |
-1,
values for y decrease. |
An r value of exactly -1 indicates a perfect negative fit.
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If there is no linear correlation or a weak linear correlation, r is:
A value near zero means that there is a ____ relationship between the two variables. |
close to 0.
random, nonlinear |
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Note that r is a ____;
that is, it does not depend on the units employed. |
dimensionless quantity
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A perfect correlation of ____ occurs only when the data points all lie ____.
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± 1,
exactly on a straight line |
If r = +1, the slope of this line is positive.
If r = -1, the slope of this line is negative. |
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A correlation greater than ____ is generally described as strong,
whereas a correlation less than ____ is generally described as weak. |
0.8,
0.5 |
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