Question: Consider a linear regression model for a product sold ( Y , measured in thousands of units ) and the advertising cost ( X ,

Consider a linear regression model for a product sold (Y,measured in thousands of units) and the advertising cost (X,measured in hundreds of dollars). Based on a random sample of 25 observations, the following estimates were obtained:

x= 1019.5, ss= 16194.34, b0= 210.1436, b1=2.9465, MSE= 9433.825.

If advertising the product costed $4,078, what is the predicted upper limit for the number of units sold with a 98% confidence? Round your answers to the nearest ten-thousandth (4 decimals).

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