Then type the following linear regression equasion: =LINEST(B2:B12, A2:A12, TRUE, TRUE) This function will calculate the slope of the regression line, the y-intercept, and several other statistics.

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.

Although [Vitor Fróis] is explaining linear regression because it relates to ... y=mx+b. Here, m is the slope of the line and b is the y-intercept. Another way to think about it is that m is ...

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 ...

In the more realistic scenario of dependence on several variables, we can use multiple linear regression ... of the estimated regression coefficients. Second, having more slope parameters in ...

The general form of a simple linear regression line is as follows: When we analyze the data, we find that the intercept (α) = 121.1 and the slope (β) = 0.4. The regression line is then: We can ...