def slope_pval(self, compare_to=0):
"""
Test if the slope is different from some value (by default, zero)
"""
tb0 = np.abs((compare_to - self.slope) / self.slope_std)
one_tailed_p = r.pt(
tb0, self.summary.rx2('df')[1], lower_tail=False)[0]
two_tailed_p = one_tailed_p * 2
if compare_to == 0:
assert two_tailed_p == self._slope_p
return two_tailed_p
def intercept_pval(self, compare_to=0):
"""
Test if the intercept is different from some value (by default, zero)
"""
tb1 = np.abs((compare_to - self.intercept) / self.intercept_std)
one_tailed_p = r.pt(
tb1, self.summary.rx2('df')[1], lower_tail=False)[0]
two_tailed_p = one_tailed_p * 2
if compare_to == 0:
assert two_tailed_p == self._intercept_p
return two_tailed_p