Consider the following time series data. Using the naive method (most recent value) as the forecast for the next week, compute the following measures of forecast accuracy: a. Mean absolute error (MAE) b. Mean squared error (MSE) c. Mean absolute percentage error (MAPE) Round your answers to two decimal places. MAE= MSE = MAPE = Using the average of all the historical data as a forecast for the next period, compute the same three values. Round your answers to two decimal places. MAE=MSE= Using the average of all the historical data as a forecast for the next period, compute the same three values. Round your answers to two decimal places. MAE = MSE = MAPE = Which method appears to provide the more accurate forecasts for the historical data