Question 16
Relationships are detected on a scatterplot by looking for a tendency for:
The data points to cluster on a diagonal line. |
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The data points to cluster on a horizontal line. |
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The data points to cluster on a vertical line. |
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the data points to cluster around the center of the graph. |
3 points
Question 17
If the high values on one variable tend to match the high values on another variable for the cases in a sample, we say that _________ relationship exists between the variables.
no |
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a positive |
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a negative |
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a strong |
3 points
Question 18
The numerator of the Pearson's r correlation coefficient is a statistic called:
correlation |
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Chi Square |
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statistical significance |
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covariance |
3 points
Question 19
Pearson's r correlation coefficients are presented in most statistical software output as a:
correlation matrix. |
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contingency table. |
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Pearson diagram. |
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scatterplot |
3 points
Question 20
An outlier will have a sigificant effect on the the Pearson's r
correlation coefficient _____.
every time. |
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if the outlier falls on the dominant diagonal. |
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never. |
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if the outlier falls far from the dominant diagonal. |
16) We know that, we look for a relationship between two variables by seeing in a scatterplot whether values cluster around a diagonal line, which can be increasing or decreasing. The answer is:
The data points to cluster on a diagonal line.
17) We know that a positive relationship exists between two variables if one variable increases with another, i.e , one variable has high values for high values of another variable. The answer is:
a positive
18) The numerator of Pearson's correlation coefficient is the covariance between the two variables.
Answer : covariance
19) Pearson's r correlation coefficients are presented in most statistical software output as a correlation matrix.
Answer : correlation matrix
20) An outlier will have a sigificant effect on the the Pearson's r correlation coefficient if :
Answer : if the outlier falls far from the dominant diagonal.
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