This document contains statistical analysis of the relationship between biaya (costs) and keuntungan (profits) for 6 observations. There is a strong positive correlation (0.909) between costs and profits. A regression model was created to predict costs based on profits, which was statistically significant. Costs increased by 0.413 for every 1 unit increase in profits on average. Diagnostics identified one outlier case with high residuals.

1. Descriptive Statistics
Mean Std. Deviation N
biaya 5.00 3.162 6
keuntungan 30.00 6.957 6
Correlations
biaya keuntungan
Pearson Correlation biaya 1.000 .909
keuntungan .909 1.000
Sig. (1-tailed) biaya . .006
keuntungan .006 .
N biaya 6 6
keuntungan 6 6
Variables Entered/Removedb
Model
Variables
Entered
Variables
Removed Method
1 keuntungana
. Enter
a. All requested variables entered.
b. DependentVariable:biaya
Model Summaryb
Model R R Square
Adjusted R
Square
Std. Error of the
Estimate
1 .909a
.826 .783 1.473
a. Predictors:(Constant),keuntungan
b. DependentVariable:biaya
ANOVAb

2. Model Sum of Squares df Mean Square F Sig.
1 Regression 41.322 1 41.322 19.048 .012a
Residual 8.678 4 2.169
Total 50.000 5
a. Predictors:(Constant),keuntungan
b. DependentVariable:biaya
Coefficientsa
Model
Unstandardized Coefficients
Standardized
Coefficients
t Sig.B Std. Error Beta
1 (Constant) -7.397 2.903 -2.548 .063
keuntungan .413 .095 .909 4.364 .012
a. DependentVariable:biaya
Casewise Diagnosticsb
Case Number tahun Std. Residual biaya Predicted Value Residual Status
1 1984 .769 2 .87 1.132
2 1985 .045 3 2.93 .066
3 1986 -1.122 5 6.65 -1.653
4 1987 -.679 4 5.00 -1.000
5 1988 1.268 11 9.13 1.868
6 1989 -.281 5 5.41 -.413
7 . . . . Ma
8 . . . . Ma
9 . . . . Ma
10 . . . . Ma
11 . . . . Ma
12 . . . . Ma
13 . . . . Ma
14 . . . . Ma
15 . . . . Ma
a. Missing Case

3. b. DependentVariable:biaya
Residuals Statisticsa
Minimum Maximum Mean Std. Deviation N
Predicted Value .87 9.13 5.00 2.875 6
Std. Predicted Value -1.437 1.437 .000 1.000 6
Standard Error of Predicted
Value
.601 1.122 .822 .241 6
Adjusted Predicted Value -.70 7.15 4.44 2.907 6
Residual -1.653 1.868 .000 1.317 6
Std. Residual -1.122 1.268 .000 .894 6
Stud. Residual -1.281 1.956 .144 1.217 6
Deleted Residual -2.154 4.446 .563 2.509 6
Stud. Deleted Residual -1.445 8.164 1.179 3.538 6
Mahal. Distance .000 2.066 .833 .974 6
Cook's Distance .001 2.642 .655 1.041 6
Centered Leverage Value .000 .413 .167 .195 6
a. DependentVariable:biaya
Charts