(Solved): A simple exponential smoothing forecast formula requires which of the following to produce the one ...

A simple exponential smoothing forecast formula requires which of the following to produce the one-period-ahead forecast \( F_{t+1} \) ? Select all that apply, and only those that apply. \( T \), the total number of observations in the data. \( F_{t} \), the forecast at time \( t \) (also known as the \( l_{t-1} \), the level at time period \( t-1 \) ). \( \alpha \), the smoothing constant. \( Y_{t-k} \), the value of the time series \( k \) periods in the past. \( Y_{t} \), the actual value of the series at time \( t \). When we relate the distribution of a dependent variable \( (Y) \) to one or more independent variables \( (X) \) in a regression model, what feature of \( Y \) do we imagine changing as we change the \( X \) values? the mean (or predicted value) of \( Y \) the standard deviation of \( Y \) the correlation between \( \mathrm{Y} \) and \( \mathrm{X} \) the slope of the regression line relating \( X \) to \( Y \) In forecasting notation, the value \( h \) represents the total number of observations in the time series data set. the actual value of the time series at time \( t \). the forecast horizon. the forecast of \( Y_{t+1} \) made at time \( t \) using information up to time \( t \).