Data from a correlational study indicated that two variables are related but did not prove causation. Of the options below, which is NOT a possible explanation for the observed variable relationship. O The correlation effect O A causal relationship could not be detected by this study. A confounding variable O Chance

Q: what exactly is a statically significant difference (Links to an external site.)? For example, if…

A: Given that  what exactly is a statically significant difference :

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A: The coefficient of determination is 23% or 0.23.

Q: please highlight the correct answer

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Q: Looking at the SPSS Correlations Output, which two variables the most STRONGLY correlated?…

A:

Q: (a) A flute instructor examined student progress. She found that playing a longer song does not…

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Q: (a) A flute instructor examined student progress. She found that playing a longer song does not…

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A: Given information: It is asked to write the differences between correlation and causation.

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Q: Which of the following are reasons for performing experiments? to establish a cause-and-effect…

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Q: 1. Cite three examples of two variables that are positively correlated and three bivariate data that…

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Q: 1) A) Ne comrelatin B) Negaivenomelanon C) Peatvecomelation ONo Correlation O Negacive Correlation…

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A: Please find the explanation below. Thank you

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A: It is an important aspect in statistics . It is widely used in correlation analysis .

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Q: Cite three examples of two variables that are positively and three bivariate data that are…

A: