Compare the two equations? What could have contributed to the accuracy of your best fit equation? Line of best fit equation:
y=2 1/4x+(-31.25)

Linear regression equation:
y=0.087x+62.247

solution:

→c= a b , that is product of a and b is possible only when when a is m × n matrix and b is n × p matrix.

that is, number of columns of a= number of rows of b.

so, size of matrix , c= a b is , if a = (m × n)matrix

b= (n × p)matrix

then a b = [ (m × n)matrix] ×[   (n × p)matrix ]

→→c= a b= [m × p ] matrix

→→size of product a b will be equal to = number of rows of a × number of columns of b

i think it is c, not positive though

step-by-step explanation:

the answer is c)8

step-by-step explanaction:

(0.2)+(-8)=0.3+-3+0.3m is the equation i guess? ?

step-by-step explanation: