12. A researcher found that sales of televisions and lawn fertilizer have been increasing over the past 12 years. The sales had a strong positive linear correlation, but no evidence could be found to support a cause-and-effect relationship. Rather, this would have been purely coincidental. This is an example of a cause-and-effect relationship a reverse cause-and-effect relationship a presumed cause-and-effect relationship an accidental cause-and-effect relationship а. b. с. d.

MATLAB: An Introduction with Applications
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Mathematics of Data Management, Analyzing One and Two Variable Data

12. A researcher found that sales of televisions and lawn fertilizer have been increasing
over the past 12 years. The sales had a strong positive linear correlation, but no
evidence could be found to support a cause-and-effect relationship. Rather, this would
have been purely coincidental. This is an example of
a cause-and-effect relationship
a reverse cause-and-effect relationship
a presumed cause-and-effect relationship
an accidental cause-and-effect relationship
а.
b.
с.
d.
Transcribed Image Text:12. A researcher found that sales of televisions and lawn fertilizer have been increasing over the past 12 years. The sales had a strong positive linear correlation, but no evidence could be found to support a cause-and-effect relationship. Rather, this would have been purely coincidental. This is an example of a cause-and-effect relationship a reverse cause-and-effect relationship a presumed cause-and-effect relationship an accidental cause-and-effect relationship а. b. с. d.
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