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Prediction of Bank Indonesia Interest Rates By Analyzing Inflation Rate in Indonesia From 2003 2016

机译:2016年2003年通过分析印度尼西亚通货膨胀利率的银行利率预测

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Inflation is a tendency to increase the price level continuously, which can affect individuals, businesses, and government, while the amount of capital goods demanded (investment) is highly dependent on the interest rate (interest) as a measure of the cost of funds used to finance the investment. That is why if interest rates are high, then investment or projects are less compared to when interest rates are low. This study uses simple linear regression analysis to predict and predict changes in the value of certain variables when other variables change. Correlation is one of the statistical analysis techniques used to find the relationship of how strong the relationship between one variable with other variables that are quantitative. By using a linearity test where f count f tabel is 26.70046 3.885 Then, Ho is rejected. This means that a simple linear regression analysis can be used to predict Bank Indonesia interest rate fluctuations by analyzing the inflation rate in Indonesia. Obtained a simple linear regression equation is Y = 4.4292 + 0.479694X, the relationship of the independent variables and the dependent variable above is 0.830618 with the relationship is superior correlation, the scale ranges from 0.76 to 1.00. ie where t count t table = 5.1672 2.179, then Ho is rejected, meaning that there is a large (significant) influence between the BI interest rate on the inflation rate in Indonesia, the higher the BI interest rate, the greater the inflation in the State of Indonesia.
机译:通货膨胀是一直持续增加价格水平的趋势,这可能影响个人,企业和政府,而要求(投资)的资本货物数量高度依赖于利率(利息),以衡量使用的资金成本资助投资。这就是为什么如果利率很高,那么与利率低时,投资或项目少得多。本研究使用简单的线性回归分析来预测和预测当其他变量变化时某些变量的值的变化。相关性是用于找到与定量的其他变量的一个变量之间关系的关系的统计分析技术之一。通过使用线性度测试,其中F计数& F Tabel是26.70046& 3.885然后,何被拒绝。这意味着通过分析印度尼西亚的通货膨胀率,可以使用简单的线性回归分析来预测银行印度尼西亚利率波动。获得了一个简单的线性回归方程是y = 4.4292 + 0.479694x,独立变量的关系和上面的依赖变量是0.830618的关系是卓越的相关性,比例范围为0.76到1.00。即在其中t count& T表= 5.1672& 2.179,然后何被拒绝,这意味着在印度尼西亚的通货膨胀率之间的衡量率之间存在大(重大)的影响,BI率越高,印度尼西亚州的通货膨胀越大。

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