Time-series forecasting with exponential smoothing uses the following formula:` $S _ { t } = w y _ { t } + ( 1 - w ) S _ { t - 1 }$ . where $S _ { t }$ is the exponentially smoothed time series at time t, $y _ { t }$ is the value of the time series at time t, and w is the smoothing constant. The forecast value at time t + 1, where w = 0.3, is given by: A) F_t₊₁ = 0.3y_t₊₁ + 0.7S_t₊₁. B) F_t₊₁ = 0.3y_t + 0.7S_t_-1. C) F_t₊₁ = 0.3y_t + 0.7S_t. D) F_t₊₁ = 0.3y_t_-1 + 0.7S_t.

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The Answer of Time-series forecasting with exponential smoothing uses the following formula:` $S _ { t } = w y _ { t } + ( 1 - w ) S _ { t - 1 }$ . where $S _ { t }$ is the exponentially smoothed time series at time t, $y _ { t }$ is the value of the time series at time t, and w is the smoothing constant. The forecast value at time t + 1, where w = 0.3, is given by: A) F_t₊₁ = 0.3y_t₊₁ + 0.7S_t₊₁. B) F_t₊₁ = 0.3y_t + 0.7S_t_-1. C) F_t₊₁ = 0.3y_t + 0.7S_t. D) F_t₊₁ = 0.3y_t_-1 + 0.7S_t.

Time-Series Forecasting with Exponential Smoothing Uses the Following Formula:` St=wyt+(1−w)St−1S _ { t } = w y _ { t } + ( 1 - w ) S _ { t - 1 }St​=wyt​+(1−w)St−1​

Time-Series Forecasting with Exponential Smoothing Uses the Following Formula:` $S _ { t } = w y _ { t } + ( 1 - w ) S _ { t - 1 }$