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Define no correlation. Choose the correct answer below. A. No correlation means that there is no apparent relationship between the two variables. An example might be hair color and weight. B. No correlation means that both variables tend to increase (or decrease) together. An example might be shoe size and height. C. No correlation means that two variables tend to change in opposite directions, with one increasing while the other decreases. An example might be age and vision. D. No correlation means that the two variables are always zero. Only trivial examples exist for this type of correlation.

Ask by Mann Barber. in the United States
Mar 09,2025

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No correlation means there's no relationship between the two variables, like hair color and weight.

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The correct answer is: **A. No correlation means that there is no apparent relationship between the two variables. An example might be hair color and weight.** Explanation: - No correlation indicates that changes in one variable do not predict changes in another variable. In the example given, hair color and weight do not have a relationship that affects one another.

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A. No correlation means that there is no apparent relationship between the two variables. An example might be hair color and weight. Picture a world where people with blonde hair don't weigh any more or less than those with brown or black hair—just like trying to predict one variable based on the other, it's simply a shot in the dark! In real life, no correlation pops up more often than you think! For instance, the relationship between the number of hours spent watching TV and your shoe size typically reveals no connection at all. So, while your binge-watching marathon is great for relaxation, it won't magically make your feet grow bigger!

Related Questions

Question 12(Mulliple Choice Warth 5 points) \[ (04.06 \mathrm{HC}) \] A researcher wants to test the claim that the proportion of juniors who watch television regularly is greater than the proportion of seniors who watch television regularly She finds that 56 of 70 randomly selected juniors and 47 of 85 randomly selected seniors report watching television regularly. Construct \( 95 \% \) confidence intervals for each population proportion. Which of the statemente gives the correct outcome of the research or's tert of the dalim? The \( 95 \% \) confidence interval for juniors is (706, 894), and the \( 95 \% \) confidence interval for seniors is ( 447,659 ). Since the intervals overlap, there is not enough evidence to say the proportion of juniors who watch television regularly may be higher than that of seniors. The \( 95 \% \) confidence interval for juniors is (721, 879), and the \( 95 \% \) confidence interval for seniors is (464, 642). Since the interval for juniors is higher than the interval for seniors, there is evidence to say the proportion of juniors who watch television regularly may be higher than that of seniors. The \( 95 \% \) confidence interval for juniors is ( 706,894 ), and the \( 95 \% \) confidence interval for seniors is ( 447,659 ). Since the interval for juniors is higher than the interval for seniors, there is evidence to say the proportion of juniors who watch television regularly may be higher than that of seniors. The \( 95 \% \) confidence interval for juniors is ( \( 721, .879 \) ), and the \( 95 \% \) confidence interval for seniors is (464, 642). Since the intervals overlap, there is not enough evidence to say the proportion of juniors who watch television regularly may be higher than that of seniors.

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