In a Multiple Regression Analysis, When There Is No Linear

In a multiple regression analysis, when there is no linear relationship between each of the independent variables and the dependent variable, then:

A) multiple t-tests of the individual coefficients will likely show some are significant.
B) we will conclude erroneously that the model has some validity.
C) the chance of erroneously concluding that the model is useful is substantially less with the F-test than with multiple t-tests.
D) All of these choices are correct.