Question about Texas Instruments TI-89 Calculator

# Singular matrix error

I needed to find logistic regression using table of given values, but the calculator is still giving me"singular matrix" in response. What does it mean and what should be done to solve the problem?

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• anna_ussur Feb 06, 2009

I used Logistiv Regression, not sinusoidal one....

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• Contributor

I had this problem as well...Were you working on a SinReg equation by any chance? I was able to do every other type of regression (Linear, quadratic, cubic, ect..) In order to get Sinusoidal regression you need to make sure you arrow down to the Period box when entering the equation, and fill it in with the number of items in your table of values (a ten item list means a period of 10). That was the fix for me, so hopefully it works for you!

Posted on Feb 04, 2009

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Posted on Jan 02, 2017

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Dec 10, 2010 | Texas Instruments TI-84 Plus Calculator

### I am trying to do SinReg but my calculator wont let me! HELP!!!!!

your value is not within the domain of the function, that is why it's giving you that error message, try the value times -1, or -(your value)

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### I need to enter a 3 x 3 matrix. It is 4 columns and 3 rows. How do I enter it in the TI-83 +?

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The problem is with the data. The calculator is telling you that your matrix is singular. Inverting a singular matrix is analogous to dividing by 0. Just as you can't divide by 0, you can't invert a singular matrix.

If you think that the inverse exists, double check the entries in the matrix.

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### I cannot get sinreg to work

Here are a few things to try.

First, I'd check whether the students put the data
into lists other than L1 and L2. If you do SinReg
with no arguments, the machine defaults to using L1
and L2.

Second, check degree versus radian mode.

Third, I have had problems in the past with SinReg
when the data were *too good*. I think a singular
matrix might be the culprit in a case like this, but I
doubt that's the problem here. If you think it might
be, try deleting every other data point and try the
regression again.

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