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Tugas Penkom I


Desa	pembelian (Juta rupiah )	penggeluaran (juta rupiah)		SUMMARY OUTPUT
A	21	4
B	15	3		Regression Statistics
C	15	3.5		Multiple R	0.8845379627
D	9	2		R Square	0.7824074074
E	12	3		Adjusted R Square	0.7461419753
F	18	3.5		Standard Error	0.3298428358
G	6	2.5		Observations	8
H	12	2.5
total	108	24		ANOVA
					df	SS	MS	F	Significance F
				Regression	1	2.347222222	2.347222222	21.57446809	0.003522654754
				Residual	6	0.6527777778	0.1087962963
				Total	7	3

					Coefficients	Standard Error	t Stat	P-value	Lower 95%	Upper 95%
				Intercept	1.375	0.3687755013	3.728555707	0.009753286088	0.4726388572	2.277361143
				pembelian (Juta rupiah )	0.1203703704	0.02591490065	4.644832407	0.003522654754	0.05695889296	0.1837818478


Anova: Single Factor

SUMMARY
Groups	Count	Sum	Average	Variance
pembelian (Juta rupiah )	8	108	13.5	23.14285714
penggeluaran (juta rupiah)	8	24	3	0.4285714286


ANOVA
Source of Variation	SS	df	MS	F	P-value	F crit
Between Groups	441	1	441	37.41818182	0.00002664041675	4.600109908
Within Groups	165	14	11.78571429

Total	606	15

Fhit >ftabel (significant ) ada perbedaan yang nyata antara pembelian mesin pertanian dengan pengeluaran pemeliharaan alat selama 2010

Regression Analysis - Linear model: Y = a + b*X
-----------------------------------------------------------------------------
Dependent variable: Col_2
Independent variable: Col_1
-----------------------------------------------------------------------------
Standard T
Parameter Estimate Error Statistic P-Value
-----------------------------------------------------------------------------
Intercept 1,375 0,368776 3,72856 0,0098
Slope 0,12037 0,0259149 4,64483 0,0035
-----------------------------------------------------------------------------


Analysis of Variance
-----------------------------------------------------------------------------
Source Sum of Squares Df Mean Square F-Ratio P-Value
-----------------------------------------------------------------------------
Model 2,34722 1 2,34722 21,57 0,0035
Residual 0,652778 6 0,108796
-----------------------------------------------------------------------------
Total (Corr.) 3,0 7

Correlation Coefficient = 0,884538
R-squared = 78,2407 percent
Standard Error of Est. = 0,329843


The StatAdvisor
---------------
The output shows the results of fitting a linear model to describe
the relationship between Col_2 and Col_1. The equation of the fitted
model is

Col_2 = 1,375 + 0,12037*Col_1

Since the P-value in the ANOVA table is less than 0.01, there is a
statistically significant relationship between Col_2 and Col_1 at the
99% confidence level.

The R-Squared statistic indicates that the model as fitted explains
78,2407% of the variability in Col_2. The correlation coefficient
equals 0,884538, indicating a moderately strong relationship between
the variables. The standard error of the estimate shows the standard
deviation of the residuals to be 0,329843. This value can be used to
construct prediction limits for new observations by selecting the
Forecasts option from the text menu.


		TINGKAT PENJUALAN PRODUK
		DENGAN MENGGUNAKAN KEMASAN BERBEDA
				Anova: Single Factor
BULAN	HASIL PENJUALAN DALAM JUTA
BULAN	Kemasan A	Kemasan B	Kemasan C	SUMMARY
Januari	55	65	20	Groups	Count	Sum	Average	Variance
Februari	55	65	35	Kemasan A	10	510	51	26.66666667
Maret	45	65	35	Kemasan B	10	660	66	32.22222222
April	55	75	35	Kemasan C	10	370	37	56.66666667
Mei	55	65	45
Juni	45	55	45
Juli	45	65	45	ANOVA
Agustus	55	65	40	Source of Variation	SS	df	MS	F	P-value	F crit
September	55	65	35	Between Groups	4206.666667	2	2103.333333	54.60576923	0.000000000324730582	3.354130829
Oktober	45	75	35	Within Groups	1040	27	38.51851852

				Total	5246.666667	29

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