The least squares estimate of the y-intercept is 47.6
How to get the least square estimate
From the calculated data in the attachment we have
= 5 * 1654 - 20 * 394 / 5 * 90 - 20 * 20
= 390 / 50
= 7.8
Next we have to solve for B₀. To do this we have to get values for x and y
such that we have
mean of x = ∑x /n
= 20/5
= 4
Solve for the mean of y
y = ∑y / n
= 394 / 5
= 78.8
Next we have to use the formula

B₀ = 78.8 - 7.8 * 4
= 78.8 - 31.2
= 47.6
Therefore the least squares estimate of the y-intercept is 47.6