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The table shows the total square footage (in billions) of retailing space at shopping centers and their sales (in billions of dollars) for 10 years. Construct a 90 % prediction interval for sales when the total square footage is 5.9 billion. The equation of the regression line is y=532.086x-1774.567. D 4.9 5.2 5.1 5.4 5.6 5.8 5.7 5.8 5.9 887.1 944.3 985.8 1072.4 1100.6 1208.9 1292.1 1328.1 1435.2 1530.6 Total Square Footage, x Sales, y 6.1

The table shows the total square footage (in billions) of retailing space at shopping centers and their sales (in billions of dollars) for 10 years. Construct a 90 % prediction interval for sales when the total square footage is 5.9 billion. The equation of the regression line is y=532.086x-1774.567. D 4.9 5.2 5.1 5.4 5.6 5.8 5.7 5.8 5.9 887.1 944.3 985.8 1072.4 1100.6 1208.9 1292.1 1328.1 1435.2 1530.6 Total Square Footage, x Sales, y 6.1

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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The table shows the total square footage (in billions) of retailing space at shopping centers and their sales (in billions of dollars) for 10 years. Construct a 90% prediction interval for sales when the total square footage is 5.9 billion. The equation of the regression line is y=532.086x-1774.567. D 5.4 5.6 5.8 5.7 5.8 5.9 Total Square Footage, x Sales, y 4.9 $0 887.1 944.3 985.8 1072.4 1100.6 1208.9 1292.1 1328.1 1435.2 1530.6 Construct a 90% prediction interval for the sales when the total square footage is 5.9 billion. Choose the correct prediction interval below, rounded to the nearest million dollars. <y< $1,222,115,000,000 $142,646,000,000 5.2 5.1 $57,177,000,000 6.1 $1,507,364,000,000
Transcribed Image Text:The table shows the total square footage (in billions) of retailing space at shopping centers and their sales (in billions of dollars) for 10 years. Construct a 90% prediction interval for sales when the total square footage is 5.9 billion. The equation of the regression line is y=532.086x-1774.567. D 5.4 5.6 5.8 5.7 5.8 5.9 Total Square Footage, x Sales, y 4.9 $0 887.1 944.3 985.8 1072.4 1100.6 1208.9 1292.1 1328.1 1435.2 1530.6 Construct a 90% prediction interval for the sales when the total square footage is 5.9 billion. Choose the correct prediction interval below, rounded to the nearest million dollars. <y< $1,222,115,000,000 $142,646,000,000 5.2 5.1 $57,177,000,000 6.1 $1,507,364,000,000
The table shows the total square footage (in billions) of retailing space at shopping centers and their sales (in billions of dollars) for 10 years. Construct a 90% prediction interval for sales when the total square footage is 5.9 billion. The equation of the regression line is y = 532.086x-1774.567. D 4.9 5.2 5.1 5.8 5.7 5.8 5.9 887.1 944.3 985.8 1072.4 1100.6 1208.9 1292.1 1328.1 1435.2 1530.6 Total Square Footage, x Sales, y 5.4 5.6 <y< Construct a 90% prediction interval for the sales when the total square footage is 5.9 billion. Choose the correct prediction interval below, rounded to the nearest million dollars. ↓ V $1,507,364,000,000 $1,222,115,000,000 $142,646,000,000 6.1 $57,177,000,000
Transcribed Image Text:The table shows the total square footage (in billions) of retailing space at shopping centers and their sales (in billions of dollars) for 10 years. Construct a 90% prediction interval for sales when the total square footage is 5.9 billion. The equation of the regression line is y = 532.086x-1774.567. D 4.9 5.2 5.1 5.8 5.7 5.8 5.9 887.1 944.3 985.8 1072.4 1100.6 1208.9 1292.1 1328.1 1435.2 1530.6 Total Square Footage, x Sales, y 5.4 5.6 <y< Construct a 90% prediction interval for the sales when the total square footage is 5.9 billion. Choose the correct prediction interval below, rounded to the nearest million dollars. ↓ V $1,507,364,000,000 $1,222,115,000,000 $142,646,000,000 6.1 $57,177,000,000
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