Quiz (Bivariate and Pearson Correlation)
Quiz by Louise Lyn Angeles
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- Q1
Couples who share more similar attitudes indicate that they are more satisfied with their relationship. This reflects a ___________ correlation.
No correlation
Strong negative
Strong Positive
Weak Positive
30s - Q2
Correlation is _____type of statistical analysis.
trivariate
multivariate
univariate
bivariate
30s - Q3
The diagram shown is an example of a ____________.
histogram illustrating a lack of correlation between tobacco and alcohol
scatter plot illustrating a positive correlation between tobacco and alcohol
scatter plot illustrating a perfect correlation between tobacco and alcohol
histogram illustrating a positive correlation between tobacco and alcohol
60s - Q4
What is the relationship of this statement: The temperature outside and the number of layers of clothes you need to stay warm.
Negative correlation
Weak Positive
Positive correlation
No correlation
60s - Q5
The measure of the linear correlation (dependence) between two variables X and Y, giving a value between +1 and −1 is called ______.
Pearson a
Pearson r
Pearson s
Pearson z
60s - Q6
The closer the value of r is to 1 or -1, the _____ is the linear relationship between the two variables.
weaker
direct
stronger
inverse
60s - Q7
The strength of linear relationship between x and y is very weak if the absolute value of correlation coefficient value is
0-0.2
0.6-0.8
0.4-0.6
0.2-0.4
60s - Q8
A plot of pairs of values of two variables in a rectangular coordinate plane displaying a relationship between the two variables.
Outlier
Graph
Pearson
Scatter Diagram
60s - Q9
Which scatterplot shows most likely a positive correlation?
C only
Both A and B
A only
B only
60s - Q10
In terms of strength of association, how do you compare scatterplot I with II?
The strength of association in Scatterplot II is greater.
The strength of association in Scatterplot I is greater.
The strength of association in the scatterplots cannot be compared.
The strength of association in both scatterplots II is the same.
60s
