Use the seasonal indexes computed to de-seasonalize the data in Problem15.32. Chemicals and Allied Products Time Period($
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Chemicals and Allied Products Time Period($ billion) Chemicals and Allied Products ($ billion) Time Period January (year 1) February January (year 2) 23.701 24.189 February 24.200 March 24.971 April 24.560May 24.992 June 22.566 July 24.037 August 25.047 September 24.115 October 23.034November 22.590December 23.347 24.122 25.282 25.426 25.185 26.486 24.088 Time Period 24.672 January (year 5) 26.072 February 24.328 March 23.826 April 24.373 May pri Chemicals and Allied Products ($ billion) 28.931 30.456 32.372 30.905 30.743 32.794 29.342 30.765 31.637 30.206 30.842 31.090 ау June Ll August September October November December January (year 3 24.207 January (year 4) 25.316 June February 25.772 February 27.591March 26.958April 25.920 May 28.460 June 24.821 July 25.560August 27.218 September 25.650 October 25.589November 25.370 December 26.435 July 29.346 August 28.983 September 28.424 October 30.149 November 26.746 December 28.966 30.783 28.594 28.762 29.018 pri ау June August September October November December
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Month Chem 12m tot 2yr tot TCSI TCIT Jan1 23701 Feb 24189 Mar 24200 Apr 24971 May 24560 June 24992 28800 July 22566 57565 23985 9408 23872 23917 28765 Aug 24037 57523 23968 10029 24134 23919 28758 Sep...View the full answer
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Business Statistics For Contemporary Decision Making
ISBN: 978-1118749647
8th edition
Authors: Black Ken
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