The most simple of trend lines is to “fit” a linear line to your data. This post will assume that you know your x values and are trying to forecast your y values. Rarely will you have to forecast both x & y. Typically, you will have x or y values and need to calculate what the corresponding x or y values are. Please note that this post will not show you how to figure out which trend line is best for forecasting future data, however we will discuss figuring out which trend line best correlates to current data.
However, this post will show you how to manually calculate all of them should you want to forecast a trend line past the known data set to calculate predicted values for x & y. Excel graphs can automatically add trend lines based on all of these trend methods. I will show examples of the trended data graphed against the original data. You can find more Excel tutorials on this page.This post is on how to manually calculate trend lines in Excel. This means the intercept is -1.3553 and the slope is 2.4585. The trendline equation turns out to be y = 2.4585x – 1.3553. The trendline equation will automatically appear on the scatterplot: In the window that appears on the right side of the screen, check the box next to Display Equation on chart: To find the slope of the trendline, click the right arrow next to Trendline and click More Options:
Step 4: Display the Slope of the Trendline Then click the green plus (+) sign in the top right corner of the chart and click the box next to Trendline: To do so, click anywhere on the scatterplot. Next, let’s add a trendline to the scatterplot.
This will produce the following scatterplot: Then click the Insert tab along the top ribbon and click the first option within the Insert Scatter (X, Y) option in the Charts group. Next, let’s create a scatterplot to visualize the data. Step 1: Create the Dataįirst, let’s create a fake dataset to work with: Often you may want to find the slope of a trendline in Excel.įortunately this is fairly easy to do and the following step-by-step example shows how to do so.
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