Given a data set consisting of a series of 5 years of quarterly "Sales" volumes. Suppose a Time Series Regression model is built based on just a single simple trend variable and a set of appropriate seasonal variables. To predict the next year of Sales (year 6) using the estimated regression model, one would need to compute estimates for the Trend and Seasonal variables for the 6th year first. the Pearson correlation figures between the set of predictors and Sales volume. to extend the trend variable by adding 0s and 1s where necessary. to extend the seasonal variable using the numbers 21, 22, 23, 24. Exactly two answers are correct. None of the answers are correct