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. The p value associated with this f value is very small 0 0000.
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. These values are used to answer the question do the independent variables reliably predict the dependent variable. 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.
Look at the f 3 333 101 34 line and then below it the prob f 0 0000.
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. 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. 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.
