Then significance test should be done on the regression equation.
The significance test of the regression equation always uses F test by
the method of variance analysis. F-statistics is defined as the average
of regression sum of squares to the average of error sum of squares
ratio. With the given significance level αðα ¼ 0:05Þ and the degree of
freedom ðm; nmÞ, we can find Fα ¼ 5:12, checking F distribution
table. If j Fj ZFα, it indicates that this regression has a significant
linear. But on the contrary, if j F j oFα, it indicates that this regression
does not have a significant linear, namely, all the independent
variables are not responding to dependent variables, dramatically