Although [Vitor Fróis] is explaining linear regression ... and b is the y-intercept. Another way to think about it is that m is how fast the line goes up (or down, if m is negative), and b ...

Linear regression is graphically depicted using a straight line; the slope defines how the change in one variable impacts a change in the other. The y-intercept of a linear regression relationship ...

Here is that spreadsheet with the same data AND with the SLOPE() and INTERCEPT() function in google docs to show the answer is the same. There. That is the the basic form of linear regression by hand.

If one variable goes up and the other tends to go down, then the covariance would be negative ... about for simple linear regression are the R-squared, the intercept (constant) and the GDP's ...