31. In time series analysis, what does the "autocorrelation plot" (ACF plot) help visualize and identify? A. Seasonal patterns B. Outliers C. Trends D. Correlation between lagged values Answer & Solution Discuss in Board Save for Later Answer & Solution Answer: Option D No explanation is given for this question Let's Discuss on Board
32. What is the primary goal of "cross-correlation analysis" in time series analysis? A. To identify seasonality in the data B. To test for causality between time series data C. To remove outliers from the data D. To determine the order of differencing Answer & Solution Discuss in Board Save for Later Answer & Solution Answer: Option B No explanation is given for this question Let's Discuss on Board
33. Which statistical method is commonly used to determine the appropriate lag order in an autoregressive (AR) model? A. Augmented Dickey-Fuller test B. Ljung-Box test C. Granger causality test D. PACF (Partial Autocorrelation Function) Answer & Solution Discuss in Board Save for Later Answer & Solution Answer: Option D No explanation is given for this question Let's Discuss on Board
34. In time series analysis, what is the primary objective of the "augmented Dickey-Fuller test" (ADF test)? A. To identify seasonality in the data B. To test for stationarity in the data C. To remove outliers from the data D. To determine the order of differencing Answer & Solution Discuss in Board Save for Later Answer & Solution Answer: Option B No explanation is given for this question Let's Discuss on Board
35. What is the purpose of the "Dickey-Fuller test" in time series analysis? A. To identify seasonality in the data B. To test for unit roots in the data C. To remove outliers from the data D. To determine the order of differencing Answer & Solution Discuss in Board Save for Later Answer & Solution Answer: Option B No explanation is given for this question Let's Discuss on Board
36. Which method in time series analysis involves fitting a model to the data, followed by examining the model's residuals for randomness? A. Exponential Smoothing B. Moving Average C. ARIMA D. Residual Analysis Answer & Solution Discuss in Board Save for Later Answer & Solution Answer: Option D No explanation is given for this question Let's Discuss on Board
37. In time series analysis, what is the primary objective of "residual analysis"? A. To identify seasonality in the data B. To test for autocorrelation in the residuals C. To remove outliers from the data D. To assess the model's goodness of fit Answer & Solution Discuss in Board Save for Later Answer & Solution Answer: Option C No explanation is given for this question Let's Discuss on Board
38. Which time series forecasting method uses past values of the series and past forecast errors to make future predictions? A. Exponential Smoothing B. Moving Average C. ARIMA D. Autoregressive Integrated Moving Average (ARIMA) Answer & Solution Discuss in Board Save for Later Answer & Solution Answer: Option D No explanation is given for this question Let's Discuss on Board
39. In the context of time series analysis, what is the purpose of "forecast error metrics" such as Mean Absolute Error (MAE) or Mean Squared Error (MSE)? A. To identify seasonality in the data B. To evaluate the accuracy of forecasts C. To remove outliers from the data D. To determine the order of differencing Answer & Solution Discuss in Board Save for Later Answer & Solution Answer: Option B No explanation is given for this question Let's Discuss on Board
40. What is the primary goal of "exogeneity testing" in time series analysis? A. To identify seasonality in the data B. To test for causality between time series data C. To remove outliers from the data D. To assess the influence of external factors Answer & Solution Discuss in Board Save for Later Answer & Solution Answer: Option B No explanation is given for this question Let's Discuss on Board
