100 Sales (in thousand litres) 80 60 40 20 Quarter petrol sales 0 Qtr 1, 20ear 2, 200fr 3, 200fr 4, 20ear 1, 200fr 2, 200fr 3, 200fr 4, of the local petroleum company. 200fr 1 Time periods 200%tr 2, 200Ar 3, Comment on the trend and seasonality for the quarterly petrol sales 2007tr 4, 2007 [3 marks](b) The owner of a hypermarket attempts to analyse the relationship between advertising expenditures and sales. He recorded the monthly advertising budget (RM '000) and the monthly sales (RM millions) for a sample of 12 months. The following summary statistics have been generated. SUMMARY OUTPUT Regression Statistics Correlation Coefficient, r 0.779 R Square 0.607 Observations 12 Analysis of Variance Source df SS MS F p-value Regression 1 27.964 27.964 15.471 0.003 Residual 10 18.139 1.814 Total 11 46.103 Coefficients Standard Error t Stat p-value Intercept 9.100 0.852 10.687 0.000 Slope 0.058 0.015 3.926 0.003(i) Express the least square regression model for the monthly sales of the hypermarket in term of its monthly advertising budget. [2 marks] Comment on the intercept and slope of the model obtained. [2 marks]