Spurious Correlation.
a. The correlation between X and Y is spurious b. X is the cause of Y c. Y is the cause of X d. A third variable is the cause of the correlation between X and Y
makeing the correlation spurious
No, The correlation can not be over 1. An example of a strong correlation would be .99
"He asked what the correlation was between the two things."
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negative correlation
Positive Correlation- Age - Amount of medical conditions Negative Correlation- Television Watching- Grades No Correlation- Height of a person- Number of shoes they own Hope this was helpful!
An undefined correlation is one in which the data would not plot with points making a vertical line.
NO. correlation just (implies) a relationship ... for example, both may be caused by the same thing.
negative correlation
A Pearson Correlation is similar (same as) to Pearson R which are found between Y and X variables.