The t-test is frequently used in regression analysis. The F-test determines if an obtained dependence is true not only for the sample, but for the population as well. The t-test, on the other hand, tests the significance of each individual variable.
If we just plan to assess the dependence of two variables in a regression analysis, doing one of the two tests will suffice. A normally distributed population is a prerequisite of the t-test.
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