# Find out the value of the trend line. Add Trend Lines to a Visualization - Tableau

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Polynomial Power These options tell Tableau to build a linear regression model based on this type of transformation on one or both variables.

How can I add a trend line? You can add a trend line in a couple of different ways. By default, this gives a linear model trend line.

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You can also use the Drag and Drop options on the Analytics pane. If you click on this and drag across, you will be given the different options available for your type of graph. Now, simply drag your mouse to the type of trend line that you want to add.

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- Let's look at the scatter plot used in this explanation to show a trend line.
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- You can publish a view that contains trend lines, and you add trend lines to a view as you edit it on the web.

Removing a trend line is just as simple, just click and drag it off the view. And edit a trend line?

This will bring up a dialogue box with a variety of different options for our trend line depending on graph and model type. Assessing whether a trend line provides us with useful information is really important.

The P-value and R-squared are vital when it comes to assessing whether the trend line model is useful or not and which model is best suited to your data. P-value The p-value is a measure of significance for the trend line. A p-value of 0.

A large p-value can indicate that the apparent trend in the data is due to chance, not the factors in the model. R-squared The R-squared is also an important measure when assessing if the model is suitable and tells us whether the model effectively fits our data.

Not only would we like the calculator to find a trend line for us, we want to graph that line also. To have the calculator put our line into Y1, we need the following keystrokes: Now when you press the calculator will show the numbers for the trend line and put that equation into Y1 for you. Notice that my calculator has been set to two decimal places. If your calculator did not show r and r2 there is a way to get them to appear on the screen.

The R-squared is measured on a scale from ; the closer to 1 the more effective the model.