Please respond to the below post stating if you agree or disagree along with a few statements contributing to the conversation. Re: Topic 3 DQ 1 Good evening Professor, The various types of time-series models are: trend protection, exponential smoothing, moving averages, and nave approach. An associative forecasting model is linear regression. The nave approach is the simplest technique that assumes that the next period will equal to the demand of the most recent period. Moving averages uses an average of data to forecast the upcoming period. Exponential smoothing takes little past data and is weighted by exponential formula. Trend projection uses past data history to set data point to create a trend. Using this trend you are able to project the future slope of the line. Lastly, linear regression is used to compare the relationship between a dependent and an independent variable to find a linear line through data points.