Function Reference: regression_ttest

statistics: h = regression_ttest (y, x)
statistics: [h, pval] = regression_ttest (y, x)
statistics: [h, pval, ci] = regression_ttest (y, x)
statistics: [h, pval, ci, stats] = regression_ttest (y, x)
statistics: […] = regression_ttest (y, x, Name, Value)

Perform a linear regression t-test.

h = regression_ttest (y, x) tests the null hypothesis that the slope beta1 of a simple linear regression equals 0. The result is h = 0 if the null hypothesis cannot be rejected at the 5% significance level, or h = 1 if the null hypothesis can be rejected at the 5% level. y and x must be vectors of equal length with finite real numbers.

The p-value of the test is returned in pval. A 100(1-alpha)% confidence interval for beta1 is returned in ci. stats is a structure containing the value of the test statistic (tstat), the degrees of freedom (df), the slope coefficient (beta1), and the intercept (beta0). Under the null, the test statistic stats.tstat follows a T-distribution with stats.df degrees of freedom.

[…] = regression_ttest (…, name, value) specifies one or more of the following name/value pairs:

NameValue
"alpha"the significance level. Default is 0.05.
"tail"a string specifying the alternative hypothesis
"both"beta1 is not 0 (two-tailed, default)
"left"beta1 is less than 0 (left-tailed)
"right"beta1 is greater than 0 (right-tailed)

See also: regression_ftest, regress, regress_gp

Source Code: regression_ttest