Colinearity in hypothesis testing.

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My lecture notes write the following about colinearity and I don't know why it's true:

If we reject the null hypothesis for an F-Test and fail to reject the null hypothesis for the T-test while also consequently having high $R^2$ (coefficient of determination), it signals we might have a colinearity problem.