| Keyword | CPC | PCC | Volume | Score | Length of keyword |
|---|---|---|---|---|---|
| linearly dependent and independent vectors | 0.72 | 0.3 | 1164 | 88 | 42 |
| linearly | 0.79 | 0.2 | 6073 | 58 | 8 |
| dependent | 0.66 | 0.5 | 8642 | 27 | 9 |
| and | 1.04 | 1 | 6688 | 38 | 3 |
| independent | 1.23 | 0.7 | 9021 | 61 | 11 |
| vectors | 1.9 | 0.9 | 4990 | 44 | 7 |
| Keyword | CPC | PCC | Volume | Score |
|---|---|---|---|---|
| linearly dependent and independent vectors | 0.45 | 0.6 | 564 | 22 |
| linearly dependent vs independent vectors | 1.24 | 0.6 | 3615 | 95 |
| what are linearly independent vectors | 2 | 0.6 | 8095 | 63 |
| what is linearly dependent vectors | 1.01 | 0.8 | 5007 | 22 |
| what is linearly independent vectors | 0.31 | 0.3 | 6567 | 45 |
| are these vectors linearly independent | 1.98 | 0.5 | 2324 | 1 |
| define linearly independent vectors | 1 | 0.6 | 7138 | 59 |
| define linearly dependent vectors | 1.44 | 0.7 | 5600 | 36 |
| meaning of linearly independent vectors | 0.15 | 0.4 | 7933 | 26 |
| linearly dependent vectors definition | 1.42 | 0.6 | 9597 | 13 |
| linearly independent vectors definition | 1.16 | 0.2 | 4746 | 83 |
| vectors that are linearly independent | 1.22 | 0.6 | 2061 | 64 |
| vectors are linearly independent | 0.39 | 0.6 | 3979 | 39 |
| your vectors are linearly dependent | 1.93 | 0.2 | 802 | 28 |
| what is a linearly independent vector | 1.83 | 0.5 | 2924 | 79 |
| linear dependence and independence of vectors | 0.48 | 1 | 9848 | 75 |
| when is a vector linearly dependent | 0.03 | 0.5 | 8036 | 6 |
| linearly independent vector definition | 1.52 | 0.2 | 4839 | 67 |
| what makes a vector linearly independent | 0.87 | 0.3 | 7616 | 92 |
set of vectors is linearly independent: A set of n vectors of length n is linearly independent if the matrix with these vectors as columns has a non-zero The set is of course dependent if the determinant is zero. Example The vectors <1,2> and <-5,3> are linearly independent since the matrix has a non-zero determinant. Example
What does it mean to be linearly independent?The vectors a 1, ..., a n are called linearly independent if there are no non-trivial combination of these vectors equal to the zero vector. That is, the vector a 1 , ..., a n are linearly independent if x 1 a 1 + ... + x n a n = 0 if and only if x 1 = 0, ..., x n = 0.
Which are the independent and dependent variables?The relationship of the dependent variable and each of the independent variables can be direct or inverse. In a direct relationship, a higher value of the independent variable is related to a higher value of the dependent variable (or vice-versa). Mathematically, a direct relationship is also a positive relationship.
