目次へ
Getting Started with Mathematica, Third Edition
Chater 24 Regression and Interpolation
Regression
平均寿命: {male life expectancy, female life expectancy}
data = {{70.0, 77.5}, {75.5, 81.5}, {43.0, 43.0}, {72.5, 74.2}, {59.8, 63.2}, {68.1, 75.8}, {76.5, 82.4}, {64.7, 65.9}, {65.7, 69.0}};
A Model for Temperature
Boston の月平均温度: {month, temperature in F}
bostonH = {{1, 36.4}, {2, 37.7}, {3, 45.0},
{4, 56.6}, {5, 67.0}, {6, 76.6}, {7, 81.8},
{8, 79.8}, {9, 72.3}, {10, 62.5}, {11, 51.6},
{12, 40.3}, {13, 36.4}, {14, 37.7}, {15, 45.0}};
A U.S. Population Model
pop =
{{1790, 3.929}, {1800, 5.308}, {1810, 7.240},
{1820, 9.638}, {1830, 12.861}, {1840, 17.063},
{1850, 23.192}, {1860, 31.443}, {1870, 38.558},
{1880, 50.189}, {1890, 62.980}, {1900, 76.212},
{1910, 92.228}, {1920, 106.021}, {1930, 123.203},
{1940, 132.166}, {1950, 151.326}, {1960, 179.323},
{1970, 203.302}, {1980, 226.542}, {1990, 248.710}};
振り子の周期を測る実験
"{振り子の長さ(cm), 周期(s)}"
lengthPeriod = {{96.5, 1.964}, {90.0, 1.903}, {79.0, 1.771},
{71.3, 1.695}, {63.5, 1.596}, {107.0, 2.058}};
「当てはまりの良さ」を調べるデータ
data1 = {{5, 3.8}, {10, 39.1}, {15, 16.8}, {20, 21.9}, {25, 55.0}, {30, 23.0}, {35, 72.0}};
data2 = {{5, 9.4}, {10, 18.3}, {15, 26.2}, {20, 36.3}, {25, 37.4}, {30, 47.3}, {35, 56.3}};