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...


Mathematics of Data Management, Analyzing One and Two Variable Data


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

Extracted 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.

Jun 09, 2022
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