1. For a time series with horizontal pattern, methods that are generally used for forecasting are: a. Simple linear regression and multiple regression b. Holt's linear exponential smoothing c. Moving average, weighted moving average and exponential smoothing d. Multiple linear regression with dummy variables 2. For a time series that have only a long time linear trend, methods that are generally used for forecasting are: a. Weighted moving average b. Multiple linear regression c. Simple time series regression d. Nave method 3. For a time series with curvilinear or non linear trend, methods that are generally used for forecasting are: a. Multiple regression with dummy variables b. Simple time series regression c. Exponential Smoothing d. Multiple regression with quadratic trend equation 4. For a time series with a seasonal pattern, methods that are generally used for forecasting are: a. Multiple regression with dummy variables b. Simple time series regression c. Exponential Smoothing d. Multiple regression with quadratic trend equation 6. If the regression line has a positive slope, b would be a. a positive value b. a negative value c. zero d. cannot be determined