Question: In an article in Statistics and Computing [An Iterative Monte Carlo Method for Nonconjugate Bayesian Analysis (1991, pp. 119128)], Carlin and Gelfand investigated the age

(a) Find the least squares estimates of the slope and the intercept in the simple linear regression model. Find an estimate of Ï2.
(b) Estimate the mean length of dugongs at age 11.
(c) Obtain the fitted values yi that correspond to each observed value yi. Plot yi versus yi, and comment on what this plot would look like if the linear relationship between length and age were perfectly deterministic (no error). Does this plot indicate that age is a reasonable choice of regressor variable in this model?
3 1.0, 1.5, 1.5, 1.5, 2.5, 4.0, 5.0, 5.0, 7.0, 8.0, 8.5, 9.0, 9.5, 9.5, 10.0, 12.0, 12.0, 13.0, 13.0, 14.5, 15.5, 15.5, 16.5, 17.0, 22.5, 29.0, 31.5 1.80, 1.85, 1.87, 1.77, 2.02, 2.27, 2.15, 2.26, 2.47, 2.19, 2.26, 2.40, 2.39, 2.41, 2.50, 2.32, 2.32, 2.43, 2.47, 2.56, 2.65, 2.47, 2.64, 2.56, 2.70, 2.72, 2.57
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Its possible to fit this data with linear model but its not a good fit Curvature is seen on the sca... View full answer
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