F In Stata. The t test is to test whether or not the unknown parameter in the population is equal to a given constant in some cases we are to test if the coefficient is equal to 0 in other words if the independent variable is individually significant the f test is to test whether or not a group of variables has an effect on y meaning we are to test if these variables are jointly significant. Stata is very nice to you.
Stata is very nice to you. F and prob f the f value is the mean square model 2385 93019 divided by the mean square residual 51 0963039 yielding f 46 69. The t test is to test whether or not the unknown parameter in the population is equal to a given constant in some cases we are to test if the coefficient is equal to 0 in other words if the independent variable is individually significant the f test is to test whether or not a group of variables has an effect on y meaning we are to test if these variables are jointly significant.
The p value associated with this f value is very small 0 0000.
Look at the f 3 333 101 34 line and then below it the prob f 0 0000. It automatically conducts an f test testing the null hypothesis thatnothing is going on here in other words that all of the coefficientson your independent variables are equal to zero. Stata is very nice to you. These values are used to answer the question do the independent variables reliably predict the dependent variable.
