Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

fixed misprints #25

Merged
merged 1 commit into from
Jun 3, 2017
Merged

fixed misprints #25

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
14 changes: 7 additions & 7 deletions problem4.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -149,9 +149,9 @@ def coefficient_variance(number_of_coefficient, y_arr, y_explained, x_matrix):
print('ess / (k - 1) / (rss / (n - k)) is {}'.format(f_real))

if f_crit < f_real:
print('Отвергаем гипотзу о значимости модели регрессии в целом (b1=b2=b3=b4=0)')
print('Отвергаем гипотезу о значимости модели регрессии в целом (b1=b2=b3=b4=0)')
else:
print('Принмаем гипотзу о значимости модели регрессии в целом (b1=b2=b3=b4=0)')
print('Принимаем гипотезу о значимости модели регрессии в целом (b1=b2=b3=b4=0)')

print()

Expand All @@ -168,7 +168,7 @@ def coefficient_variance(number_of_coefficient, y_arr, y_explained, x_matrix):
print()

for i in range(4):
t_val = coefficient_vector[i] / (coefficient_variance(i, y_1, y_estimation, get_x_matrix(variation))) ** (1 / 2)
t_val = (coefficient_vector[i] - 0) / (coefficient_variance(i, y_1, y_estimation, get_x_matrix(variation))) ** (1 / 2)
print("Гипотеза H0: коэфциент b{}=0".format(i + 1))
print('Критерий значимости для коэфициента b{}:\t{}'.format(i + 1, t_val))
if t_critical >= t_val >= -t_critical:
Expand Down Expand Up @@ -204,13 +204,13 @@ def coefficient_variance(number_of_coefficient, y_arr, y_explained, x_matrix):
f_r_critical = f.ppf(0.95, q, n - k)
f_r_real = (rss_r - rss_ur) / q / (rss_ur / (n - k))

print('F (95%, q, n-k) is {}'.format(f_r_critical))
print('(rss_r - rss_ur) / q / (rss_ur / (n - k)) is {}'.format(f_r_real))
print('F (95%, q, n-k) is {}'.format(f_crit))
print('(rss_r - rss_ur) / q / (rss_ur / (n - k)) is {}'.format(f_real))

if f_r_critical < f_r_real:
print('Отвергаем гипотзу о совместной значимости коэффициентов при переменных x3 и x4')
print('Отвергаем гипотезу о совместной значимости коэффициентов при переменных x3 и x4')
else:
print('Принмаем гипотзу о совместной значимости коэффициентов при переменных x3 и x4')
print('Принимаем гипоетзу о совместной значимости коэффициентов при переменных x3 и x4')

print()

Expand Down