Regresi Linier Berganda
Soal
Berapa besarnya kesalahan standar estimasinya. Dengan tingkat signifikasi 10 ujilah hipotesis
yang menyatakan bahwa hubungan antara biaya periklanan dan tingkat penjualan sedikitnya
40.
Regresi Linier Berganda
Soal
Berapa besarnya kesalahan standar estimasinya. Dengan tingkat signifikasi 10 ujilah hipotesis
yang menyatakan bahwa hubungan antara biaya periklanan dan tingkat penjualan sedikitnya
40.
OpenOffice.org Performance Analysis - to improve responsiveness for older PCOsdev
A client with 1x,000 users has gradually migrated to OpenOffice.org for a few years. They found many complaints about the speed of OpenOffice.org compare to MS Office. This kind of complaint are familiar to us but the magnitude of the problems, e.g. open-file time in minutes seems rather strange. So we investigated the problems to find the kind and cause of them to reach a conclusion that could be use to improve the situation in our client case.
We found that the problem depends solely on hardware, notably RAM, vs. file size. Our client happen to have old IT infrastructure with a lot of old PC, e.g. Pentium with 256M RAM. Add enough RAM (>512M) and OpenOffice.org will run fine for files of average sizes. Add more (e.g. >1024M) to open larger files.
Here is the presentation of our finding.
OpenOffice.org Performance Analysis - to improve responsiveness for older PCOsdev
A client with 1x,000 users has gradually migrated to OpenOffice.org for a few years. They found many complaints about the speed of OpenOffice.org compare to MS Office. This kind of complaint are familiar to us but the magnitude of the problems, e.g. open-file time in minutes seems rather strange. So we investigated the problems to find the kind and cause of them to reach a conclusion that could be use to improve the situation in our client case.
We found that the problem depends solely on hardware, notably RAM, vs. file size. Our client happen to have old IT infrastructure with a lot of old PC, e.g. Pentium with 256M RAM. Add enough RAM (>512M) and OpenOffice.org will run fine for files of average sizes. Add more (e.g. >1024M) to open larger files.
Here is the presentation of our finding.
1. JUMLAH BIAYA PROMOSI MOTOR DENGAN JUMLAH PENJUALAN MOTOR DARI TAHUN 2001-2006 Tahun Jumlah Biaya Promosi (X) Jumlah Penjualan (Unit) (Y) 2001 22.000.000 30 2002 36.000.000 38 2003 31.000.000 35 2004 32.000.000 37 2005 31.000.000 34 2006 32.000.000 38
2. Correlations Analisis output: Mean Biaya Promosi = 30.6667 Mean Jumlah Penjualan = 35.3333 Standar deviasi Biaya Promosi = 4.63321 Standar deviasi Jumlah Penjualan = 3.07679 Banyaknya data (sampel) = 6
3.
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5. Nonparametric Correlations Analisis Output Speraman’s rhp: Nilai korelasi = 0.940** dengan sig. (2-tailed)= 0,005 termasuk korelasi tinggi, Keadaan ini menunjukkan bahwa terdapat hubungan yang sangat erat antara biaya promosi dengan jumlah penjualan.Dengan tingkat signifikasi 0.001 .
