Uploaded by Kristelle Bautista

Final-Exam-Regression-DALE

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Seandale Moises Tahamid
BSA 203A
Month
Sales (in 1000's P)
January
1
38.00
February
2
37.00
March
3
43.00
April
4
35.00
May
5
44.00
June
6
43.00
July
7
45.00
August
8
40.00
September
9
43.00
October
10
45.00
November
11
47.00
December
12
51.00
Summary Output :
Regression Statistics
Multiple R
0.779233318
R Square
0.607204565
Adjusted R Square
0.567925021
Standard Error
2.945760653
12
Observations
ANOVA
df
SS
MS
Regression
1
134.1416084
134.1416084
Residual
10
86.77505828
8.677505828
Total
11
220.9166667
F
15.45854432
Significance F
0.002812302
Coefficients
Standard
Error
t Stat
P-value
Lower 95% Upper 95%
Lower
95.0%
Upper
95.0%
Intercept 36.28787879 1.812990355 20.01548364 2.12989E-09 32.24828454 40.32747304 32.24828454 40.32747304
Month (t) 0.968531469 0.246336881 3.931735535 0.002812302 0.419658693 1.517404244 0.419658693 1.517404244

Regression Equation
y = 0.9685(x) + 36.2879

Forecast for the next January
y = 0.9685(13) + 36.2879
= 48.8784
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