Singular matrix error

What's the determinant of the numbers in matrix A? A singular matrix is a matrix whose determinant is zero.

Open the Matrix function by pressing 2nd [x^-1]>EDIT.
Once Matrix is created, press [2nd][x^-1]>MATH>[1:det(] complete the matrix name and then press ENTER. If matrix is non-singular, you will get your answer.

Not all matrices are invertible. The matrice must be square.The matrix must be non-singular: Its determinant must be different from 0. Your error comes probably from the key you used to calculate the inverse. Use the reciprocal key, the one marked with x^-1. If the marking is not ON the key, use the SHIFT button prior to pressing the relevant key.

A singular matrix has no inverse. It's the equivalent of zero: trying to take the inverse of zero is an error. Check the matrix to make sure you have entered it correctly. If the error persists, could you post the matrix in question?

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)

1. Press [2nd] [X to -1] under [MATH[ to access the (Matrix) menus.
2. Use right arrow to highlight [EDIT]
3. Press [1:A] to edit (create from scratch) the A matrix.
4. On the line MATRIX[A] line cursor blinks on 1
5. Enter m dimension (3) and press [ENTER].
6. Cursor moves to the second dimension (n). type 3.
7. Press [ENTER].
8. A 3x3 matrix template is displayed with A_11 element highlighted.
9. Replace the value 0 with your value for A_11.
10. Press [ENTER].
11. Type a value and press [ENTER].
12. When finished, press [2nd][QUIT] to exit the matrix editor.
    

Your matrix is ready to be operated on (squaring, multiplication by a scalar, inverse if matrix is non-singular, determinant.) All operations are available under [2nd][X^-1](Matrix) [=>][MATH].

If a matrix has a determinant of 0, this error appears. If you get this error, your matrix doesn't have an inverse.

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.

Information regarding singular Matrix can be found on Texas Instruments Knowledge Base which can be accessed by clicking on the URL below:

http://epsstore.ti.com/OA_HTML/csksxvm.jsp?nSetId=70965&nUsePub=NO&jttst0=6_23871,23871,-1,0,&jtfm0=&etfm1=&jfn=ZG4DFC2561D832E9A7B8E3D67D02A142E36C32198B223B8B735B80EB41E1A4C06C1D6FD81FCE2A573E09CA38076BEBE3A38E

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.