A forecaster used the regression equation Qt= a + bt+c₁D1 + C2D2 + c3D3 and quarterly sales data for 2004/-2021/V (t= 1, ..., 64) for an appliance manufacturer to obtain the results shown below. Qis quarterly sales, and D₁, D2 and D3 are dummy variables for quarters I, II, and III. DEPENDENT VARIABLE: OBSERVATIONS: VARIABLE INTERCEPT T D1 D2 D3 Multiple Choice Q> Q> Q> QIV QT R-SQUARE 64 0.8768 QQQQIII F-RATIO P-VALUE ON F 107.982 0.0001 In any given year, quarterly sales tend to vary as follows: PARAMETER STANDARD ESTIMATE 30.0 1.5 10.0 25.0 40.0 ERROR T-RATIO 12.80 2.34 0.70 2.14 3.00 3.33 7.20 3.47 15.80 2.53 P-VALUE 0.0224 0.0362 0.0015 0.0010 0.0140
A forecaster used the regression equation Qt= a + bt+c₁D1 + C2D2 + c3D3 and quarterly sales data for 2004/-2021/V (t= 1, ..., 64) for an appliance manufacturer to obtain the results shown below. Qis quarterly sales, and D₁, D2 and D3 are dummy variables for quarters I, II, and III. DEPENDENT VARIABLE: OBSERVATIONS: VARIABLE INTERCEPT T D1 D2 D3 Multiple Choice Q> Q> Q> QIV QT R-SQUARE 64 0.8768 QQQQIII F-RATIO P-VALUE ON F 107.982 0.0001 In any given year, quarterly sales tend to vary as follows: PARAMETER STANDARD ESTIMATE 30.0 1.5 10.0 25.0 40.0 ERROR T-RATIO 12.80 2.34 0.70 2.14 3.00 3.33 7.20 3.47 15.80 2.53 P-VALUE 0.0224 0.0362 0.0015 0.0010 0.0140
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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![A forecaster used the regression equation
Qt= a + bt+q₁D₁ + C2D2 + c3D3
and quarterly sales data for 2004/-2021/V (t = 1, ..., 64) for an appliance manufacturer to obtain the results shown below. Q is quarterly sales, and D₁, D₂
and D3 are dummy variables for quarters I, II, and III.
DEPENDENT VARIABLE: QT R-SQUARE
64 0.8768
OBSERVATIONS:
VARIABLE
INTERCEPT
T
D1
D2
D3
Multiple Choice
Q₁Q|Q|||> QIV
F-RATIO P-VALUE ON F
107.982 0.0001
In any given year, quarterly sales tend to vary as follows:
Q>QQIV> QIII
PARAMETER STANDARD
ESTIMATE
30.0
1.5
10.0
25.0
40.0
ERROR T-RATIO P-VALUE
12.80
2.34
0.0224
0.70
2.14
0.0362
3.00
3.33
0.0015
7.20
3.47
0.0010
15.80
2.53
0.0140](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F7f165dee-efce-48a3-b251-475c2062208c%2Ffd7e9196-2e81-4d95-a416-63e827434d05%2F7eeolmp_processed.jpeg&w=3840&q=75)
Transcribed Image Text:A forecaster used the regression equation
Qt= a + bt+q₁D₁ + C2D2 + c3D3
and quarterly sales data for 2004/-2021/V (t = 1, ..., 64) for an appliance manufacturer to obtain the results shown below. Q is quarterly sales, and D₁, D₂
and D3 are dummy variables for quarters I, II, and III.
DEPENDENT VARIABLE: QT R-SQUARE
64 0.8768
OBSERVATIONS:
VARIABLE
INTERCEPT
T
D1
D2
D3
Multiple Choice
Q₁Q|Q|||> QIV
F-RATIO P-VALUE ON F
107.982 0.0001
In any given year, quarterly sales tend to vary as follows:
Q>QQIV> QIII
PARAMETER STANDARD
ESTIMATE
30.0
1.5
10.0
25.0
40.0
ERROR T-RATIO P-VALUE
12.80
2.34
0.0224
0.70
2.14
0.0362
3.00
3.33
0.0015
7.20
3.47
0.0010
15.80
2.53
0.0140
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