Restricted F Test Formula. The alternate hypothesis states that the variances are unequal. Compare these two values and if a critical value is smaller than the f value you can reject the null hypothesis.
Residual is the difference between the actual y and the predicted y from the model. Find the f critical value from f table taking a degree of freedom and level of significance. Let s get a better feel for the general linear f test approach by applying it to two different datasets.
3 perform test using the following statistic where m n k c n k is the number of independent restrictions imposed on by the hypothesis.
Therefore the smaller ssr is the better the model is. Ssrur 183 186327 ssr of unrestricted model ssrr 198 311477 ssr of restricted model ssr stands for sum of squares of residuals. F value variance of 1st data set variance of 2nd data set. Here σ 12 and σ 22 are the symbols for variances.
