Asked by Ibrahim
Runner Inc. a U.S. athletic shoe manufacturer estimates he following linear trend model for shoe sales: Qt = a = bt + c1D1 + c2D2 + c3D3
Where Qt = sales of athletic shoes in the tth quarter
t = 1, 2, 3,….,28 [2007(I), 2007(II), …..2013(IV)]
D1 = 1, if t is quarter I (winter); 0 otherwise
D2 = 1, if t is quarter II (spring); 0 otherwise
D3 = 1 if t si quarter III (summer); 0 otherwise
The regression analysis produces the following results:
DEPENDENT VARIABLE: QT R-SQUARE F-RATIO P-VALUE ON F
OBSERVATIONS: 28 0.9651 159.01 0.0001
VARIABLE PARAMETER
ESTIMATE STANDARD
ERROR
T-RATIO
P-VALUE
INTERCEPT 184500 10310 17.90 0.0005
T 2100 340 6.18 0.0022
D1 3280 1510 2.17 0.0043
D2 6250 2220 2.82 0.0022
D3 7010 1580 4.44 0.0001
Where Qt = sales of athletic shoes in the tth quarter
t = 1, 2, 3,….,28 [2007(I), 2007(II), …..2013(IV)]
D1 = 1, if t is quarter I (winter); 0 otherwise
D2 = 1, if t is quarter II (spring); 0 otherwise
D3 = 1 if t si quarter III (summer); 0 otherwise
The regression analysis produces the following results:
DEPENDENT VARIABLE: QT R-SQUARE F-RATIO P-VALUE ON F
OBSERVATIONS: 28 0.9651 159.01 0.0001
VARIABLE PARAMETER
ESTIMATE STANDARD
ERROR
T-RATIO
P-VALUE
INTERCEPT 184500 10310 17.90 0.0005
T 2100 340 6.18 0.0022
D1 3280 1510 2.17 0.0043
D2 6250 2220 2.82 0.0022
D3 7010 1580 4.44 0.0001
Answers
Answered by
Ms. Sue
I'm sorry you don't know the difference between a school and a school subject.
There are no AI answers yet. The ability to request AI answers is coming soon!
Submit Your Answer
We prioritize human answers over AI answers.
If you are human, and you can answer this question, please submit your answer.