Brief Introduction Descriptive Statistics

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CHAPTER 4 RESEARCH FINDINGS AND ANALYSIS

A. Brief Introduction

This chapter will present the process of data processing through the statistical tools as well as the analysis of the findings. The data will be processed through the statistical software Eviews 5 using the multiple regression analysis model. The model will be tested using the OLS Originally Least Squared Method before conducting the multiple regression analysis model. To ensure that the model has the characteristic BLUE Best Linear Unbiased Estimator, before testing the significance of the model, we conduct the classical assumption test which consists of normality test, heteroscedasticity test, multi-collinearity test, and autocorrelation test. If the model is passing those classical assumption tests, thus we assume that the model has BLUE characteristic and we will be ready to test the significance of the model. But if the model has not passed yet, we will do some remedial actions accordingly. After achieving a model that has BLUE characteristic, the writer can interpret the result and make the analyses as well as compare it with the theoretical assumption. 52

B. Descriptive Statistics

The descriptive statistics that will be used in this research is as follows: CG PR EXRATE INLATION SBI Mean 0.022268 0.019215 -0.000831 -0.483316 -0.011012 Median 0.003819 0.024407 -0.003781 -0.076498 -0.007476 Maximum 0.193360 0.306532 0.172425 9.000000 0.130793 Minimum -0.169444 -0.340247 -0.098840 -35.00000 -0.105425 Std. Dev. 0.067858 0.099661 0.037145 5.192304 0.036939 Skewness 0.352901 -0.521612 1.717417 -5.028711 0.705108 Kurtosis 3.747713 5.198717 10.70772 34.36123 6.116995 Jarque-Bera 2.643079 14.80669 178.0175 2711.697 29.26092 Probability 0.266724 0.609000 0.000000 0.000000 0.000000 Sum 1.336056 1.152927 -0.049875 -28.99897 -0.660716 SumSq. Dev. 0.271681 0.586010 0.081406 1590.641 0.080504 Observations 60 60 60 60 60 Table 4.1 Where, CG : Return in Consumer Goods Sector PR : Return in Property and Real Estate Sector EXRATE : Change in Exchange Rate Monthly INFLATION : Change in Inflation Rate Monthly SBI : Change in SBI Rate Monthly 53 Explanation of Table 4.1: 1. The dependent variable of the stocks rate of return in consumer goods sector has an average return of 0.022268. The maximum return of consumer goods sector during the period of observation is 0.193360, while the minimum return is -0.169444 with the 6.785 standard deviation. In the meantime, the dependent variable of the stocks rate of return in property and real estate sector has an average return of 0.019215. The maximum return of property and real estate sector during the period of observation is 0.306532, while the minimum return is -0.340247with the 9.9661 standard deviation. 2. As for the independent variable, the change in exchange rate during the period of the observation has an average change of -0.000831. The maximum change is 0.172425 and the minimum change is -0.098840 with 3.7145 standard deviation. Another variable, which is change in inflation rate, has an average change of -0.483316. The maximum change is 9.000000 and the minimum change is -35.00000with 519.2304 standard deviation. And as the last independent variable, which is change in SBI rate, it has the average change of -0.011012. The maximum change is 0.130793 and the minimum change is -0.105425 with 3.6939 standard deviation.

C. Normality Test