i think i know roughly how correlations work - if u plot the values, u can get a trendline (the line that minimizes distance from line to all the points). if u then take this line and calculate square root of distance from line to points... something something correlation
like, if all the points are real far from the line, its low correlation, if all the points are close to the line, its high correlation
but i don't understand the relationship of this to the slope of the line itself?
like what does it *mean* for there to be a real strong trend slope with an r of 0.02? Or weak with r of .9? is that even possible? what does this even mean about the data?
i conceive of correlations as about predictive power - given knowledge of X, how can we predict Y?
By “strong trend slope” here are you meaning literally the “steepness”? Like you’re wondering how can you get really big coefficients with low correlation and vice versa?
No. In a univariate regression, the coefficient is the covariance of x and y divided by the variance of x (cov(x,y)/var(x)). Correlation is the covariance of x and y divided by the product of the standard deviation of x and the standard deviation of y.