A Regression line was calculated for three cellular data sets(A B and C) Measure the height of a plant (in inches) over time(in days) The residual plots for each state are shown based on the residuals which data set is best fit by the regression line

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

it would open into a square depending on the type of envelope i’m not sure about the second part

d no solution

step-by-step explanation: