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:

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).

Consider a linear regression model for a product sold (Y, measured or thousands of unlts] and the advertising cost [34, measured In hundreds of dollars}. Based on a random sample of 25 observations, the following estimates were obtained: 2x, = 1019.5, SS.w = 16194.34, 1),, = 210.1436, b1: 2.9465, MSE = 9433.825. If advertising the product ousted $4.013. what is the predicted upper limit for the number of units sold with a 98% condence? Hound your answers to the nearest ten-thousandth {4 decimals}