# Find out the value of the trend line, How to Find the Equation of a Trend Line - Video & Lesson Transcript | enemyremains.com

Polynomial Power These options tell Binary options strategy 75 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.

Two-way tables Video transcript Shira's math test included a survey question asking how many hours students had spent studying for the test. The graph below shows the relationship between how many hours students spent studying and their score on the test. Shira drew the line below to show the trend in the data.

By default, this gives a linear model trend line. 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. Removing a trend line is just as simple, just click and drag it off the view.

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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.

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.

P-value The p-value is a measure of significance for the trend line. A p-value of 0.

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- After that, create a new line chart for the extended data set B1:C
- You can publish a view that contains trend lines, and you add trend lines to a view as you edit it on the web.
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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.

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