Company AAM Synergy started an energy efficiency program for their shopping complex. Table 1 and Table 2 show details of measurement data for the energy consumption of the complex together with data for number of operating days during the baseline period and the performance period respectively. (a) State the model equation based on multi-linear regression analysis for determining the energy consumption during the baseline period of the shopping complex. (2 marks) (b) Determine the coefficient of determination between the energy consumption and number of working days for the baseline period and express your opinion based on the value. (c) Determine the standard error for the model equation based on multi-linear analysis for the baseline period. (2 marks) regression (1 marks) (d) State the model equation based on multi-linear regression analysis for determining the energy consumption during the performance period of the shopping complex. (1 marks) (e) Determine the coefficient of determination between the energy consumption and number of working days for the performance period. (1 marks) (f) Determine the standard error for the model equation based on multi-linear regression analysis for the performance period. (1 marks) Table 1: Measurement data before the implementation of energy efficiency program (baseline period). Month June, 2010 July, 2010 August, 2010 September, 2010 October, 2010 November, 2010 December, 2010 January, 2011 February, 2011 March, 2011 April, 2011 May, 2011 Number of Operating Days 23 24 22 20 23 21 23 23 18 24 23 22 Energy Consumption [kWh] 849,443 842,587 818,269 778,232 847,641 818,753 864,459 864,482 754,936 836,328 825,045 818,482 Table 2: Measurement data after the implementation of energy efficiency program (performance period). Month June, 2011 July, 2011 August, 2011 September, 2011 October, 2011 November, 2011 December, 2011 January, 2012 February, 2012 March, 2012 April, 2012 May, 2012 Number of Operating Days 23 23 22 23 23 21 23 22 20 22 21 23 Energy Consumption [kWh] 825,301 824,019 816,358 811,674 832,456 781,612 806,447 802,911 729,112 791,591 770,362 808,064