The Federal Deposit Insurance Corporation (FDIC) releases data on bank failures. Following are data onthe number of U.S. bank failures in a given year and the total amount of bank deposits (in $ millions)involved in such failures for a given year. Use these data to develop a simple regression forecastingmodel that attempts to predict the failed bank assets involved in bank closings by the number of bankfailures. Compute a Durbin-Watson statistic for this regression model and determine whethersignificant autocorrelation is present. Let ? = .05.Year Failures 123456789101112131415161718 1173445791181442012212061591081004211651 Failed Bank Assets8,1891041,8624,13736,3943,0347,6097,53856,62028,50710,73943,55216,9152,58882575318627 The regression equation is: Failed Bank Assets = _____ + ______ **Number of Failures D=**Critical values of D: Using k = 1, n = 18, and ? = .05,dL =** and dU =**Since D =** is(above or below)dU , the decision is(reject or fail to reject null hypothesis) . There(is or is not)significant autocorrelation.
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