A linear model fit to predict weekly Sales of frozen pizza (in kilograms) from the average Price (in dollars per unit) charged by a sample of stores in 41 recent weeks is Sales = 141,870.25-24,445.32 Price. For the data used to create the model, the average Sales was 52,750 kilograms (SD = 10,282 kilograms) and the correlation between Price and Sales was r=-0.554. If the Price in a particular week was 2 SD higher than the mean Price, how much pizza would the model predict was sold that week? The model would predict that kilograms of frozen pizza were sold. (Round to the nearest integer as needed.)

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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A linear model fit to predict weekly Sales of frozen pizza (in kilograms)
from the average Price (in dollars per unit) charged by a sample of stores
in 41 recent weeks is Sales = 141,870.25-24,445.32 Price. For the data
used to create the model, the average Sales was 52,750 kilograms
(SD = 10,282 kilograms) and the correlation between Price and Sales was
r=-0.554. If the Price in a particular week was 2 SD higher than the
mean Price, how much pizza would the model predict was sold that
week?
The model would predict that kilograms of frozen pizza were sold.
(Round to the nearest integer as needed.)
Transcribed Image Text:A linear model fit to predict weekly Sales of frozen pizza (in kilograms) from the average Price (in dollars per unit) charged by a sample of stores in 41 recent weeks is Sales = 141,870.25-24,445.32 Price. For the data used to create the model, the average Sales was 52,750 kilograms (SD = 10,282 kilograms) and the correlation between Price and Sales was r=-0.554. If the Price in a particular week was 2 SD higher than the mean Price, how much pizza would the model predict was sold that week? The model would predict that kilograms of frozen pizza were sold. (Round to the nearest integer as needed.)
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