Using the data in the table below, estimate the demand function for cod. Price, dollars per pound 1.90 1.35 1.25 Quantity, thousand pounds per day Q=12.53-6.25p. Suppose the quantity in the first row of the table were 2.5 instead of 1.5. The linear demand function would now be 1.5 524950% Suppose the quantity in the second row of the table were 2.7 instead of 2.2 The linear demand function would now be 2.2 4.4 5.9 6.5 ܢܬ 1.20 0.95 0.85 0.73 Using the Excel trendline option to estimate a linear demand function, the linear demand function is 7.0 8.8 Q= 11.75 5.46 p. (Enter your responses rounded to two decimal places) Q= -- (Enter your responses rounded to two decimal places)

ENGR.ECONOMIC ANALYSIS
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Chapter1: Making Economics Decisions
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economics

Using the data in the table below, estimate the demand function for cod.
Price, dollars per pound
1.90
1.35
1.25
1.20
0.95
Quantity, thousand pounds per day
1.5
Q=12.53-6.25p.
Suppose the quantity in the first row of the table were 2.5 instead of 1.5.
The linear demand function would now be
245678
ANAS508
2.2
Suppose the quantity in the second row of the table were 2.7 instead of 2.2
The linear demand function would now be
44
5.9
6.5
0.85
0.73
8.8
Using the Excel trendline option to estimate a linear demand function, the linear demand function is
7.0
Q= 11.75 5.46 p. (Enter your responses rounded to two decimal places)
Q=- (Enter your responses rounded to two decimal places.)
Transcribed Image Text:Using the data in the table below, estimate the demand function for cod. Price, dollars per pound 1.90 1.35 1.25 1.20 0.95 Quantity, thousand pounds per day 1.5 Q=12.53-6.25p. Suppose the quantity in the first row of the table were 2.5 instead of 1.5. The linear demand function would now be 245678 ANAS508 2.2 Suppose the quantity in the second row of the table were 2.7 instead of 2.2 The linear demand function would now be 44 5.9 6.5 0.85 0.73 8.8 Using the Excel trendline option to estimate a linear demand function, the linear demand function is 7.0 Q= 11.75 5.46 p. (Enter your responses rounded to two decimal places) Q=- (Enter your responses rounded to two decimal places.)
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