The table shows the total square footage (in billions) of retailing space at shopping centers and their sales (in billio

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The table shows the total square footage (in billions) of retailing space at shopping centers and their sales (in billio

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The Table Shows The Total Square Footage In Billions Of Retailing Space At Shopping Centers And Their Sales In Billio 1
The Table Shows The Total Square Footage In Billions Of Retailing Space At Shopping Centers And Their Sales In Billio 1 (21.69 KiB) Viewed 85 times
The Table Shows The Total Square Footage In Billions Of Retailing Space At Shopping Centers And Their Sales In Billio 2
The Table Shows The Total Square Footage In Billions Of Retailing Space At Shopping Centers And Their Sales In Billio 2 (16.12 KiB) Viewed 85 times
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 5.8 billion. The equation of the regression line is y=501.564x-1614.581. Total Square 49 51 52 54 55 56 59 58 6.1 62 Footage, x Sales, y 872 2 945 8 938 2 1066.6 1103.4 1219 2 1279 6 1343.91443.3 1529.1 SETTE Construct a 90% prediction interval for the sales when the total square footage is 5.8 billion. Choose the correct prediction interval below, rounded to the nearest million dollars. <y<
Interpret the prediction interval. A There is a 90% chance that the predicted sales given 5.4 billion square feet of shopping area is within the prediction interval OB. You can be 80% confident that the sales will be within the prediction interval when the total square footage is 5.4 billion square feet OC. A randomly selected year with 5.4 billion square feet of shopping area has a 90% probability of being within the prediction interval
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