The R2 value of 0.736 which means that at 73.6 percent is the explanation of the dependent variable. Pada sensus penduduk tahun 2000, Badan Pusat. Tahap pengolahan merupakan tahap yang penting karena memengaruhi keakuratan dan ketepatan data statistik yang dihasilkan. Regression analysis showed that overall independent variables (population growth, inflation, GDP, wage) collectively have the same effect on the unemployment rate that occurred in Indonesia. Pengolahan data kependudukan bertujuan untuk menghasilkan tabel statistik yang berisi hasil dari sensus penduduk, registrasi penduduk, dan survei kependudukan.
#Analisa untuk data penduduk series
The Regression model used is the method of multiple linear regression analysis (Ordinary Least Squares) using time series data from the years 1990-2010.
Penyebutan dengan istilah data kasar menunjukkan bahwa data itu belum diolah dengan teknik statistik tertentu. The purpose of this study was to analize how the variables influence the population growth, inflation rate, GDP rate, and wage rate of unemployment rate that occurred in Indonesia in 1990-2010. Makalah Statistik (Penyajian Data) BAB I PENDAHULUAN LATAR BELAKANG Kegiatan pengumpulan data di lapangan, akan menghasilkan angka-angka yang disebut data kasar. Indonesia country population that is increasing each year, as well as the highest GDP growth in Indonesia, but why the unemployment rate in Indonesia is also high. One of them is the level of unemployment. Economic development of a region can be seen from several economic indicators.
Economic growth can be used as a benchmark for the success of a region’s economic development.
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