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PROMPT: Choose two of the following three questions and post your answers: In your own words, what ...


PROMPT: Choose two of the following three questions and post your answers: In your own words, what is meant by the statement that correlation does not imply causality? In your own words, please describe the difference between the regression equation and the regression equation . Values of r: If you had computed the value of the linear correlation coefficient to be 1.200, what should you conclude? Directions: Please do some research on these topics by using your textbook or the Internet to answer the complete prompt. For assistance, please see: APA7 citation generator: Citefast automatically formats citations in APA 7th edition. (n.d.). Cite Fast. https://www.citefast.com/?s=APA7#_Webpage Then answer your classmates' posts and comment on their descriptions. Requirements: Your main post should be at least 60 words in length, answer all portions of the prompt, and contain a cited source in APA formatting. The two replies to classmates should be at least 60 words in length each. Please do not reply to a classmate with "Good post" or the like, as you will not receive credit for that type of response. Participation is required on a minimum of three days. It is highly suggested that the main response to the weekly discussion be posted by 11:59 pm ET Thursday, and all posts must be completed by 11:59 pm ET Sunday.





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  1. Correlation Does Not Imply Causality
    In simple terms, saying "correlation does not imply causality" means that just because two variables show a relationship or move together (either positively or negatively), it doesn’t mean that one causes the other to happen. For example, ice cream sales and drowning incidents might both increase during the summer, but eating ice cream does not cause drowning. A third factor—like hot weather—is influencing both. Misinterpreting correlation as causation can lead to false conclusions in data analysis.
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