Question

Question 16 Relationships are detected on a scatterplot by looking for a tendency for: The data...

Question 16

  1. Relationships are detected on a scatterplot by looking for a tendency for:

    The data points to cluster on a diagonal line.

    The data points to cluster on a horizontal line.

    The data points to cluster on a vertical line.

    the data points to cluster around the center of the graph.

3 points

Question 17

  1. 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

    a positive

    a negative

    a strong

3 points

Question 18

  1. The numerator of the Pearson's r correlation coefficient is a statistic called:

    correlation

    Chi Square

    statistical significance

    covariance

3 points

Question 19

  1. Pearson's r correlation coefficients are presented in most statistical software output as a:

    correlation matrix.

    contingency table.

    Pearson diagram.

    scatterplot

3 points

Question 20


  1. An outlier will have a sigificant effect on the the Pearson's r correlation coefficient _____.

    every time.

    if the outlier falls on the dominant diagonal.

    never.

    if the outlier falls far from the dominant diagonal.

Homework Answers

Answer #1

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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