The following are data on the average weekly profits(in $1,000) of five restaurants, their seating capacities, andthe average daily traffic (in thousands of cars) that passestheir locations: Seating Traffic Weekly netcapacity count profitx1 x2 y120 19 23.8200 8 24.2150 12 22.0180 15 26.2240 16 33.5 (a) Assuming that the regression is linear, estimate β0, β1,and β2.(b) Use the results of part (a) to predict the averageweekly net profit of a restaurant with a seating capacityof 210 at a location where the daily traffic count averages14,000 cars.

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The following are data on the average weekly profits
(in $1,000) of five restaurants, their seating capacities, and
the average daily traffic (in thousands of cars) that passes
their locations:

Seating Traffic Weekly net
capacity count profit
x1 x2 y
120 19 23.8
200 8 24.2
150 12 22.0
180 15 26.2
240 16 33.5

(a) Assuming that the regression is linear, estimate β0, β1,
and β2.
(b) Use the results of part (a) to predict the average
weekly net profit of a restaurant with a seating capacity
of 210 at a location where the daily traffic count averages
14,000 cars.

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