QUESTION $25(4$ Marks$)$ After determining that the cyclical and irregular components of the time series data are negligible, the business analyst plans to use the multiplicative model of time series analysis to forecast the quarterly sales for $2025($i$.$e$.,$ Q$1,$ Q$2,$ Q$3,$ and Q$4).$ The analyst has established that the equation of the trendline $($i$.$e$.,$ the line of best fit$)$ for the time series data is given by the linear equation: y $=178\mathrm{.}33+1\mathrm{.}9985$x where x represents the quarter, and y is the expected sales in units. Using this trendline equation, calculate the trend estimates for the four quarters of $2025($Hint: the corresponding x$-$values for Q$1,$ Q$2,$ Q$3,$ and Q$4$ of $2025$ are $17,18,19,$ and $20,$ respectively$).$ Finally, adjust the calculated quarterly trend estimates using the seasonal indices provided below: Quarter Q$1$ Q$2$ Q$3$ Q$4$ Adjusted Seasonal Index $1\mathrm{.}16170\mathrm{.}96570\mathrm{.}91350\mathrm{.}9592$ A$.$ The estimated sales units for Q$1,$ Q$2,$ Q$3$ and Q$4$ of $2025$ are $247,207,198,$ and $209$ respectively. B$.$ The estimated sales units for Q$1,$ Q$2,$ Q$3$ and Q$4$ of $2025$ are $212,218,214,$ and $216$ respectively. C$.$ The estimated sales units for Q$1,$ Q$2,$ Q$3$ and Q$4$ of $2025$ are $212,207,218,$ and $247$ respectively. D$.$ The estimated sales units for Q$1,$ Q$2,$ Q$3$ and Q$4$ of $2025$ are $209,207,198,$ and $218$ respectively.