WITH CORRECT ACTUAL QUESTIONS AND
CORRECTLY WELL DEFINED ANSWERS
LATEST ALREADY GRADED A+ 2026
regression analysis - ANSWERS-a statistical technique that
uses data on quantity, price, income an dother important
variables
Y = a +bX + e
a --> unknown population intercept parameter
b --> unknown population slope parameter
e --> random error term with mean zero and standard
deviation o. - ANSWERS-true(population) regression model
equation
Y = a + bX
, a(tilda) --> least squares estimate of the unknown
parameter a
b(tilda) --> least squares estimate of the unknown
parameter a - ANSWERS-the least squares regression line
equation
the values of a and b that result in the smallest sum of
squared errors between a line and the actual data -
ANSWERS-what do the parameter estimates a (tilda) and
b(tilda) represent?
slide 25 - ANSWERS-
to maximize profits - ANSWERS-what should a firms overall
goal be?
available technology and prices of inputs used in production
- ANSWERS-what are examples of some constraints?
accounting profit - ANSWERS-total amount of money from
sales (revenue) minus the dollar cost of producing the goods
or services