1.1) If a variable has dimensions 3 x 4, it would be considered (select all that apply) a) matrix b) row vector c) column vector d) scalar 1.2) If a variable has dimensions 1 x5, it would be considered (select all that apply) a) matrix b) row vector c) column vector d) scalar 1.3) If a variable has dimensions 5 x 1, it would be considered (select all that apply) a) matrix b) row vector c) column vector d) scalar 1.4) If a variable has dimensions 1 x 1, it would be considered (select all that apply a) matrix b) row vector c) column vector d) scalar 2. Using colon operator, create the following row vectors a) 0 1 2 3 4 5 6 7 8 9 10 b) 5.000 5.100 5.200 5.300 5.400 5.500 5.600 5.700 5.800 5.900 6,000 c) 0 0.250 0.500 0.750 1.000 1.2500 1.5000 1.750 2.000 d) 10 9 8 7 6 5 4 3 2 1 0 3. Use linspace function to create a vector, vec, which consist of 50 equally spaced points from -pito 4. Use inspace function and also the colon operator create the following row vectors a) 20 19 18 17 16 15 14 13 12 11 10 b) 2.0000 3.5000 5.0000 6.5000 8.0000 5. Create the following two row variable vect = [1 2 3 4 5 vec2 [6 7 8 9 10 5.1) Concatenate vec1 and vec2 together to create a vec3 of size 1 x 10 5.2) Create a matrix, mat (size 2x5) where the first row is vect and second row vec2 5.3) use transpose() on vect and vec2, and create a matrix (size 5x2) where first column is vect' and vec2