Lecture 6_Matrix algebra Flashcards

1
Q

What is a matrix?

A

a two-dimensional ordered array of numbers

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2
Q

What are the numbers within a matrix called?

A

elements

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3
Q

How are elements in a matrix identified?

A

(Row #) then (Column #)

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4
Q

What is the order of a matrix?

A

its size, expressed as the number of its rows and columns.

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5
Q

Matrix Addition & Subtraction

A

Proceed on an element by element basis

Note: two matrices must be of the same order to permit addition or subtraction

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6
Q

Scalar multiplication

A

that each element of a matrix is multiplied by the value of the scalar

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7
Q

What conditions must be met for Matrix Multiplication?

A

the number of columns in the first matrix must equal the number of rows in the second matrix.

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8
Q

What are the dimensions of the resulting product matrix from matrix multiplication?

A

The resulting product matrix will have the same number of rows as the first matrix and the same number of columns as the second matrix.

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9
Q

Is matrix multiplication commutative?

A

No (A̅ x B̅) ≠ (B̅ x A̅)

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10
Q

What does it mean to transpose a matrix?

A

exchange the rows and columns

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11
Q

What are some uses for the transpose of a matrix?

A

Pre-multiplying D̅ by D̅’ (D̅’ x D̅) gives the Sum of Cross-products matrix for variables X and Y (dividing all elements by sample size gives the variance-covariance matrix)

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12
Q

Matrix division

A
  • no operation directly comparable
  • must calculate the inverse [B̅÷ A has to be performed as A̅¯¹B̅ (matrix B is pre-multiplied by A̅¯¹, the inverse of matrix A̅)]
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13
Q

How do you find the inverse of a matrix?

A

1st - find the determinant (magnitude) [if = 0 → no inverse]

2nd - use determinant as a scalar in the formula (given) to find inverse

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14
Q

What is an Identity matrix?

A

the result of a matrix multiplied by its inverse

• its diagonal elements are 1s and its off-diagonal elements are all 0s.

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15
Q

How do we obtain the standardized coefficients (βᵢ) and R² from the correlation matrix among the variables.

A
  1. find the inverse R̅ᵢᵢ¯¹
  2. check by multiplying R̅ᵢᵢ x R̅ᵢᵢ¯¹ → identity matrix
  3. calculate βᵢ by B̅ᵢ = R̅ᵢᵢ¯¹ x R̅ᵢy
  4. calculate R² = R̅ᵢy x B̅ᵢ
  5. calculate bᵢ = βᵢ (SDy/SDᵢ)
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16
Q

Working with the diagonal elements of the inverse the correlation matrix among the IVs, we can get the …

A

standard errors of the regression coefficients (see equation)

17
Q

A Correlation Matrix …

A

Summarizes the Bivariate Relations Within a System of 3 or more Variables

18
Q

What constraints ensure a stable correlation matrix?

A
  • all correlations must be based on the same sample of observations.
  • This requires “listwise” deletion, not “pairwise” deletion, when calculating a correlation matrix.
  • ensures that the range of values for correlation in the matrix is constrained by the values of all the other correlations within the system.
19
Q

Always use ___ deletion so that each correlation in
the matrix is based on the same sample (number) of
subjects, even if this means discarding some subjects.

A

listwise (ensures correlations are constrained)

20
Q

Pairwise deletion can produce a matrix that is ___?

A

unstable (the internal constraints among correlations do not hold)
- can produce a negative value for the determinant

21
Q

If you use pairwise deletion, what is the actual

sample size used in your study?

A

unknown (different variables may have different numbers)