My Courses Bb 20954665 Bb 20959974 E Machine Learning Assignment X C learn-us-east-1-prod-fleet02-xythos.content.blackboardcdn.com/5cc71db6522fe/20954665?X-Blackboard-Expiration=1634774400000&X-Blackboard-Signature=6nrt... To 20954665 1 / 2 100% + Setup: We have data on England and Wales mortality rates from lung cancer from 1936 - 1980. The years correspond to various calendar periods 1936: 1936-1940 1941: 1941-1945 1946: 1946-1950 etc. The lung information is the lung cancer mortality rate per 1 million person-years. The data are shown below. 1 Year 1936 1941 1946 1951 1956 961 1966 1971 1976 Lung 575 720 1450 2500 3900 200 6400 '700 8900 Residual |881.556 -87.444 -471.444 -535.444 -249.444 -63.444 22.556 208.556 294.556 Questions: 1. Calculate the lag 1 autocorrelation of the residuals. Interpret your findings. 2. Calculate the Durbin-Watson statistic and the p-value for a 2-sided test. Interpret your 2 findings. Use a = 0.05. (Note: SAS gives 1-sided p-values. To get 2-sided p-values, multiply the smaller 1-sided p-value by 2.) 3. Run a regression analysis and determine if the equal variance condition is met or not. Provide appropriate plots and /or test results. 4. Run a regression analysis and determine if the residuals are normal or not. Provide appropriate plots and/or test results. 5. Suppose the normality condition is not met (even if it is). Should you transform the x- or the y-variable