The examples below assume that you know at least two points (x

_{1},y

_{1}) and (x

_{2},y

_{2}) and want to solve for

*y*given

*x*based on the equation for a line:

*y=mx+b*, where

*m*is the

**slope**and

*b*is the y-

**intercept**.

1. Using the Point-Slope formula, where the slope is (y

_{2}-y

_{1})/(x

_{2}-x

_{1}):

y=y1+(x-x1)*(y2-y1)/(x2-x1) =B2+(B5-A2)*(B3-B2)/(A3-A2)

2. Using the SLOPE and INTERCEPT functions to solve for

*m*and

*b*:

y=SLOPE(y's,x's)*x+INTERCEPT(y's,x's) =SLOPE(B2:B3,A2:A3)*B5+INTERCEPT(B2:B3,A2:A3)

3. The TREND function uses linear regression to solve for

*y*if you have two or more points. This is also a way to estimate

*y*from a linear fit of many points.

y=TREND(y's,x's,x,TRUE) =TREND(B2:B3,A2:A3,B5,TRUE)

## 2 comments:

Thank you for the different options. I had already made a custom function from the standard equation. But I like the simplicity of using the existing Trend function.

Thanks useful for me

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