F test and t test are performed in regression models.
In linear model output in R, we get fitted values and expected values of response variable. Suppose I have height as explanatory variable and body weight as response variable for 100 data points.
Each variable (explanatory or independent variable, if we have multiple regression model) coefficient in linear model is associated with a t-value (along with its p value)? How is this t-value computed?
Also there is one F test at the end; again I am curious to know about its computation?
Also in ANOVA after linear model, I have seen a F-test.
Although I am new statistics learner and not from statistical background, I have gone through with lots of tutorials on this. Please do not suggest for going me with basic tutorials as i have already done that. I am only curious to know about the T and F test computation using some basic example.