Answer:
Linearly Dependent for not all scalars are null.
Step-by-step explanation:
Hi there!
1)When we have vectors like
we call them linearly dependent if we have scalars
as scalar coefficients of those vectors, and not all are null and their sum is equal to zero.
When all scalar coefficients are equal to zero, we can call them linearly independent
2) Now let's examine the Matrix given:

So each column of this Matrix is a vector. So we can write them as:
Or
Now let's rewrite it as a system of equations:

2.1) Since we want to try whether they are linearly independent, or dependent we'll rewrite as a Linear system so that we can find their scalar coefficients, whether all or not all are null.
Using the Gaussian Elimination Method, augmenting the matrix, then proceeding the calculations, we can see that not all scalars are equal to zero. Then it is Linearly Dependent.



All angles in a triangle add up to 180 degrees. So, if you are missing an angle, add up the degrees of the angles present and subtract that from 180. That will be the value of the missing angle in degrees.
Wind speed: 100 miles per hour
300 times 6 = 1800 miles so it took 6 hours to travel 1800 miles. 1800 minus 1200 miles = 600 miles. you lost 600 miles over 6 hours or 100 miles per hour
To determine the 7th term of a given sequence, we use the formula given above which is
an = 30 - 4n
where an is the value at the nth term of a sequence
Therefore,
an = 30 - 4n
an = 30 - 4(7)
an = 2