Answer:
A. The stepwise selection procedure uses Adjusted R-square as the "best" model criterion.
Step-by-step explanation:
Stepwise regression is a model which uses variables in step by step manner. The procedure involves removal or inclusion of independent variables one by one. It adds the most significant independent variable and removes the less significant independent variable. Usually stepwise selection uses R-square or Mallows Cp for picking the best fit.
Answer:
Step-by-step explanation:
60
%
discount given in total, so only
40
%
is paid.
Explanation:
So here we need to make a two-step changing factor.
This means that we first take
0.5
(something decreasing by
50
%
) times
0.8
(something decreased by
20
%
) which is
0.4
(something decreased by
60
%
Answer:
$2540
Step-by-step explanation:
Given parameters:
Base salary of Pedro = $1500
Amount of commission on sales = 4%
Sales = $26000
Unknown:
His total salary including base salary and commission = ?
Solution:
His total salary;
Total salary = Base Salary + (percent on commission x sales)
Total salary = $1500 + (
x $26000)
Total salary = $1500 + $1040
Total salary = $2540
