Actually, is there a relationship in regression when changing values?

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    Regression Relationship
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SUMMARY

This discussion centers on the relationship between variables in regression analysis, specifically when x and y values are swapped. The user notes that despite switching the coordinates, the regression results do not yield inverse relationships, which contradicts their expectations. The key takeaway is that the coefficients obtained from regressing y on x differ from those obtained by regressing x on y, highlighting the non-symmetrical nature of regression analysis.

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  • Understanding of basic regression concepts
  • Familiarity with regression coefficients and their interpretation
  • Knowledge of slope calculation in regression analysis
  • Experience with statistical software for performing regression
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  • Study the differences between simple linear regression and inverse relationships
  • Learn about the implications of switching dependent and independent variables in regression
  • Explore the concept of correlation versus causation in regression analysis
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Data analysts, statisticians, and students learning about regression analysis will benefit from this discussion, particularly those seeking to understand the nuances of variable relationships in regression models.

Soley101
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Hello, I've just started learning about regression. While working on some problems I noticed that one problem set had exactly the x,y values swapped. And as you know when you switch the points that's normally an inverse, but the regression doesn't show that pattern as the regression values are not inverses. I expected them to be the inverses but they are not. How do I explain that..maybe I don't fully understand what regression is.

For instance (I don't have my calc on me but I assure you I know how to do the regression) but I am mean let's say there are 3 coordinates 2,2 3,4 6,6 then the reverse would be 2,2 4,3 6,6. But the regressions are not identical. so is there a pattern or relationship? lol i go crazy at this hour.
 
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There is no simple relationship between the coefficients obtained in the two regressions. Look at the formula for slope when you regress [tex]y[/tex] on [tex]x[/tex]. Switching the roles of the two variables gives the formula for the ''slope'' when you regress [tex]x[/tex] on [tex]y[/tex].
 

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