Please help with an explanation.. 1. The table shows the minimum wage rates for the United States during different years.
Year 1978 1979 1980 1990 1991 1996 1997 2007 2008 2009
Minimum hourly wage ($) 2.65 2.90 3.35 3.80 4.25 4.75 5.15 5.85 6.55 7.25

(a) Write the least squares regression equation that models the data. Let x = time in years since
1900 and let y = minimum hourly wage.

(b) Use the equation to estimate the minimum hourly wage of a U. S. worker in 2025. Show your
work.

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

in mathematics, a constraint is a condition of an optimization problem that the solution must satisfy. there are several types of constraints—primarily equality constraints, inequality constraints, and integer constraints. the set of candidate solutions that satisfy all constraints is called the feasible set.

hoped i'm right lol