def l(x, y):
s_xy = 0.0
for i in range(len(x)):
s_xy += (x[i] * y[i])
return s_xy - sum(x) * sum(y) / len(x)
def age(stats):
x = []
y = []
for s in stats:
x.append(s[-2])
y.append(s[4])
lxy = l(x, y)
lxx = l(x, x)
b = lxy / lxx
ybar = mean(y)
xbar = mean(x)
a = ybar - b * xbar
# difference
st = sum([(yi - ybar) ** 2 for yi in y])
yesit = [a + b * xi for xi in x]
sr = sum([(ye - ybar) ** 2 for ye in yesit])
return [a, b, sr / st]
if __name__ == '__main__':
print(age(get_data()))
from statistic.test.independ import indep
__author__ = 'zzt'
def add_data(m, a):
if 5 < m <= 10:
m *= 4.33
if 25 < m <= 37:
a[0] += 1
elif 37 < m <= 40:
a[1] += 1
elif 40 < m < 49:
a[2] += 1
def first_sec(stats):
obs = [[0, 0, 0], [0, 0, 0]]
for l in stats:
if l[5] == 1:
add_data(l[2], obs[0])
else:
add_data(l[2], obs[1])
return chi2_contingency(obs)[0:2]
# return indep(obs)
if __name__ == '__main__':
print(first_sec(get_data()))
def l(x, y):
s_xy = 0.0
for i in range(len(x)):
s_xy += (x[i] * y[i])
return s_xy - sum(x) * sum(y) / len(x)
def age(stats):
x = []
y = []
for s in stats:
x.append(s[-2])
y.append(s[4])
lxy = l(x, y)
lxx = l(x, x)
b = lxy / lxx
ybar = mean(y)
xbar = mean(x)
a = ybar - b * xbar
# difference
st = sum([(yi - ybar)**2 for yi in y])
yesit = [a + b * xi for xi in x]
sr = sum([(ye - ybar)**2 for ye in yesit])
return [a, b, sr / st]
if __name__ == '__main__':
print(age(get_data()))
