The Time-Series Model Y_t = T_t * C_t *S_t $\tilde { T} _ { 1}$

The time-series model y_t = T_t * C_t *S_t * R_t is used for forecasting,where T_t,C_t,S_t,and R_t are respectively the trend,cyclical,seasonal,and random variation components of the time series,and y_t is the value of the time series at time t.The following estimates are obtained: $\tilde { T} _ { 1}$ = 120, $\tilde { C } _ { t }$ = 1.02, $\tilde { S } _ { t }$ = 0.95,and $\hat { R } _ { 2 }$ = 0.90.The model will produce a forecast of:

A) 122.870
B) 104.652
C) 116.280
D) 102.600