Ramon wants to better understand the relationship between income and hours of sleep, so he performs a regression analysis using sleep as the independent variable and income as the dependent variable. The result is a regression line with an equation of y = 4,500x+13,562 and r = .75. Based off of this result, can we conclude that sleeping more leads to a higher income? Group of answer choices No, a correlation of .75 is not high enough to make this conclusion. Yes, a correlation of .75 is high enough to make this conclusion. No, we cannot determine causality from regression analysis, only associations. Yes, a positive slope indicates that more sleep leads to higher incomes

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33. Ramon wants to better understand the relationship between income and hours of sleep, so he performs a regression analysis using sleep as the independent variable and income as the dependent variable. The result is a regression line with an equation of y = 4,500x+13,562 and r = .75.

Based off of this result, can we conclude that sleeping more leads to a higher income?

Group of answer choices
No, a correlation of .75 is not high enough to make this conclusion.
Yes, a correlation of .75 is high enough to make this conclusion.
No, we cannot determine causality from regression analysis, only associations.
Yes, a positive slope indicates that more sleep leads to higher incomes
 
 
 
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