In order to do Simple Linear Regression I know that $ \bar{x} = 95$, $\sum_{i = 1}^7x_i^2 = 63245$, $\sum_{i=1}^{14}y_i = 626$, $\sum_{i=1}^{14}y_i^2 = 56132$, $\sum_{i=1}^{14}x_iy_i = 59564$.
I know how to calculate the Linear Regression Line, but in this case we can see that there are only $n = 7$ results for $x$ and 14 for $y$. My question is, what am I supposed to consider when calculating the parameters in order to have the $\bar{y}$, $\sum_{i = 1}^nx_i^2 - n\bar{x}^2$, $\sum_{i = 1}^ny_i^2 - n\bar{y}^2$, $\sum_{i = 1}^n x_iy_i - n\bar{x}\bar{y}$ since one is calculated considering $n = 7$ and the other is calculated considering $n_y = 14$?
I also have the 1-to-1 index correspondence from these vector:
$x = (90, 92, 94, 95, 96, 98, 100), y = (83, 83, 87, 92, 93, 94, 94)$
such that $x_1 = 90 \rightarrow 83 = y_1$, $x_2 = 92 \rightarrow 83 = y_2$, etc