How are we supposed to find F-statistic when we have 2 model? in the model y=B0+b1x1+bpxp+e, p=23, n=206
Sum square Reg =400, SS TOT= 1000
assume B1=B2=0 and  deleting the predictor with these slopes ereased of the model.
Sum square= 100, SStot=1000
find F statistic.
I know this formula:
(SSreg1-SSreg2)/(p2-p1)/(ssReg/n-p2)
however the problem is I only have one P what should I do? or is it any other way?

By setting $\beta_1=0$ and $\beta_2=0$, you are removing two of your $p=23$ variables. Therefore, your $p_1 = 23-2=21$.
By the way, there is a mistake in your formula.
$$F=\dfrac{\dfrac{RSS_{1}-RSS_{2}}{p_2-p_1}}{\dfrac{RSS_{2}}{n-p_2}}$$
Model $2$ has all $p_2=23$ parameters, while model $1$ only has $p_1 = 21$ parameters.
You might be interested in reading a good answer on the partial F-test, which is a particular type of chunk test.
