Answer:
(a). For every additional square foot of area of a house, the price is predicted to increase by $61
(b) The asking price is $145410 and the residual is a negative $4100
Explanation:
As per the data given in the question,
a) From regression equation Slope = 0.061
So slope = (0.061 × 1,000) ÷ 1 sq. ft.
= $61 per sq. ft.
For every additional square foot area price is increased by $61
b) If size of the house is = 1600 square foot then
Price = 47.81 + 1600*0.061
=$145,410
The asked price is $4,100 less than estimated price and residual is not positive
Hence,
Asking price = $145,410
Residual price = a negative $4,100
Answer:
Cost of goods sold = $179,000
Explanation:
The cost of goods sold represent the amount of direct expenditure incurred on the units of goods sold for the period. It is computed as follows
Cost of goods sold = Opening inventory + cost of production - closing inventory
Note that closing inventory represents the value of the goods yet to be sold at the end o the period while opening inventory represent the worth of goods brought forward from the previous period.
Cost of production is the addition of direct material, direct labour and production overhead.
The cost of goods sold for unique production is
Cost of goods sold = Opening inventory + production - closing inventory
cost of gods sold = 20,000 + (60,000 + 35,000 + 100,000) - 36,000
= $179,000
Answer:
I think that the answer is B, The The general likelihood of business success is very high.
Explanation:
I got it right on edgenuity
Answer:
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Explanation:
