This question already has an answer here:
I'm a bit confused about this. I have a model with multiple variables trying to explain the dependent variable. When I use the F test, I don't pass the critical value. But when I seperate the different variables and use the t-test, I do pass the critical value on 2 of the 3 variables. How is this possible? I thought the F test was to be used as a indicator: is any of the variables relevant. And I thought the t-test was to determine which one was relevant.