A new test has been developed to check for differences in variability in single-index models. The test uses distances between data points and does not require complex calculations. The test is reliable and can be easily implemented. It has been shown to have a normal distribution and works well regardless of the number of variables. The researchers provided examples to demonstrate the effectiveness of the test.