21. What is the primary goal of the "Ljung-Box test" in time series analysis? A. To identify seasonality in the data B. To test for autocorrelation in the data C. To remove outliers from the data D. To add noise to the data 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
22. In time series analysis, what does the term "exponential smoothing" refer to? A. A method for detecting seasonality B. A method for removing outliers C. A method for trend identification D. A method for forecasting future 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
23. Which statistical method is used to identify the presence of outliers or anomalies in a time series data set? A. Augmented Dickey-Fuller test B. Granger causality test C. Box-Plot Method D. t-test 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
24. What is the primary purpose of the "Granger causality test" 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 add noise to the data 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
25. Which statistical method is used to determine the order of differencing in an ARIMA model? A. Augmented Dickey-Fuller test B. Seasonal Decomposition of Time Series C. Ljung-Box 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
26. In time series analysis, what is the primary purpose of the "partial autocorrelation function" (PACF)? A. To identify seasonality in the data B. To test for autocorrelation in the data C. To remove outliers from the data D. To determine ARIMA model parameters 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
27. What is the primary goal of the "Holt-Winters method" in time series forecasting? A. To identify seasonality in the data B. To test for autocorrelation in the data C. To perform triple exponential smoothing D. To remove outliers from the data 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
28. In time series analysis, what does the acronym "MA" stand for in an ARIMA model? A. Moving Average B. Mean Average C. Moving Autoregression D. Mean Autoregression Answer & Solution Discuss in Board Save for Later Answer & Solution Answer: Option A No explanation is given for this question Let's Discuss on Board
29. What is the primary purpose of "seasonal decomposition" in time series analysis? A. To identify seasonality in the data B. To remove seasonality from the data C. To make the data stationary D. To identify trends in the data 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
30. Which method in time series analysis involves using past observations to predict future values, often denoted as "Y-hat"? A. Exponential Smoothing B. Moving Average C. ARIMA D. Forecasting 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
