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for statistics multiple regression Suppose that we have collected data from the following variables for n=9 randomly selected sewing machines: Yf Amount of wear and

for statistics multiple regression

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Suppose that we have collected data from the following variables for n=9 randomly selected sewing machines: Yf Amount of wear and tear on the gears of the machine X1: Age of machine X2: Hours of use per day Suppose further that we build the following model for the wear and tear of the gears: YI' = 10 + 0'4Xi1 + O'SXI'ZJ with 55E=29 and SSR=13. Suppose now that we want to construct condence intervals for the expected value of the response variable for machines that are: A.) 2 years old and works 7 hours per day, and B.) 3 years old and works 4 hours per day. Assume that for (A) we know that Xh'(X'X)\"X,, = 0.182 and for (B) we know that x','(x'x)1x,, = 0.201 Construct the Bonferroni simultaneous condence intervals for these two sets of predicted points with a family confidence coefcient of 98%. Type your answers in the spaces provided below. Round off to 3 decimal places

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