Question #1f5c1

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t0hierry
Feb 14, 2017

It's the equation of the straight line that best approximates the relationship between two sets of data.

Explanation:

It's used in statistics. For each variable compute its variance S. Their ratio #S_y/S_x# multiplied by the correlation (the relative variance of x and y) called #r# is the #beta# of the regression, that is the slope of the regression line.

Take the temperature in your hometown between sunrise and noon. It increases. It also fluctuates on top of that increase. Plotting temperature as a function of x you would see points scattered around a straight line. That straight line is #bar y = b_0 + b_1 x#

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