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Unformatted text preview: The weight of the bats in 30 consecutive days is obtained and is given in the data set below. If the machine is calibrated correctly, and if the OLS assumptions hold, we would expect a constant mean model with the Yt’s fluctuating randomly around the target value β . The data set Y t ; t=1,2,…30 37, 27, 25, 32, 29, 30, 31, 33, 34, 38, 33, 31, 37, 41, 26, 32, 37, 31, 25, 35, 36, 39, 31, 32, 28, 34, 30, 27, 26, 38. (i) Find the OLS estimate for β , i.e β * , and a 95% confidence interval for β (ii) Find a 95% prediction interval for Y t , where t>30 (iii) Run a residual diagnostic test for the OLS assumptions, checking for heteroscedasticity, uncorrelatedness and normality...
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 Winter '09
 YuliaGel
 Correlation, Forecasting, Normal Distribution, OLS, Student's tdistribution

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