The Logic Behind the T-Test for the Individual Significance of the Estimated

Multiple Choice

The logic behind the t-test for the individual significance of the estimated slope coefficient $\hat { \beta } _ { 1 }$
Is that if the estimated slope coefficient is likely to be different from 0,then

A) the estimated slope coefficient should be large.
B) the estimated standard error should be large.
C) the ratio of the estimated slope coefficient to the standard error of the estimated slope coefficient should be small.
D) the ratio of the estimated slope coefficient to the standard error of the estimated slope coefficient should be large.