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May 20, 2017 3:29 AM
(757 views)

Hello Everyne.

One new question: I have a regression line (please see attachment) Y xs X.

I have calculated the confidence intervals for Y as a function or X.

However based on this fit, when I want to get the confidence intervals of X how do I calculate them.

The reason for this question is that ofter times we obsere a response (Y) and then read back the X value from the regression line. Therefore when an X value is read out of this regression line, it should theoretically also have a confidence interval ?

I am much obliged for your kind assistance.

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May 20, 2017 4:57 AM
(1477 views)

Solution

This is known as *inverse prediction* or the *calibration problem*. You have a standard curve and correctly fit Y (response) versus X (known levels). This result is available but not in the Bivariate platform that you used. Use the Fit Least Squares platform instead. Select **Analyze** > **Fit Model**. Enter your Y column in the Y role, enter your X column as an Effect, and click **Run**. Click the red triangle at the top and select **Estimates** > **Inverse Prediction**. Choose your **confidence level** and your desired **type of interval**. Enter up to **eight Y values**. Finally, use the **option** at the bottom to indicate if you want an interval estimate for the mean X (default) or the individual X value (check the box).

Learn it once, use it forever!

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May 20, 2017 4:50 AM
(747 views)

~~You can get the confidence interval for your X variable by running the Distribution Platform.~~

See Mark's response below

Jim

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May 20, 2017 4:58 AM
(743 views)

Hi there,

You mean distribution X as Y (right) ?

But this is not very helpful, it generates no meaningful report. I would be obliged for your assistance .

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May 20, 2017 4:57 AM
(1478 views)

This is known as *inverse prediction* or the *calibration problem*. You have a standard curve and correctly fit Y (response) versus X (known levels). This result is available but not in the Bivariate platform that you used. Use the Fit Least Squares platform instead. Select **Analyze** > **Fit Model**. Enter your Y column in the Y role, enter your X column as an Effect, and click **Run**. Click the red triangle at the top and select **Estimates** > **Inverse Prediction**. Choose your **confidence level** and your desired **type of interval**. Enter up to **eight Y values**. Finally, use the **option** at the bottom to indicate if you want an interval estimate for the mean X (default) or the individual X value (check the box).

Learn it once, use it forever!

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May 20, 2017 5:09 AM
(737 views)

This result is available but not in the Bivariate platform that you used.

**Use the Fit Least Squares platform** instead.

Sorry, could not find this platform ?

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May 20, 2017 5:24 AM
(734 views)

The platform that Mark is referring to is:

Analyze==>Fit Model

Within it you can choose the Least Squares

Jim