WorksheetsWeek 5 Quiz
Total questions: 10
Worksheet time: 3mins
Name
Class
Date
1.
1) Which of these are not a components of time series data?
a)
Trend
b)
Seasonality
c)
Resid
d)
Noise
2.
2) Which of these show the importance of time series analysis?
a)
Forecasting
b)
Prediction
c)
Anomaly Detection
d)
Decomposition
3.
3) Which of these are the components of a seasonal decompose?
a)
Forecasting
b)
Trend
c)
Residual
d)
Decompose
4.
4) Which of these are decomposition techniques?
a)
Moving averages
b)
Seasonal decomposition of time series
c)
Holt Winters Exponential Smoothing
d)
Seasonal decomposition using LOESS
5.
5) Which of these are types of moving averages?
a)
SARIMA
b)
SMA
c)
WMA
d)
EMA
6.
6) Which of these are types of Exponential Smoothing?
a)
Naive
b)
Holt
c)
Holt-Winters
d)
Winters
7.
7) What are the advantages of Exponential Smoothing?
a)
Provide smoothed estimates of the underlying trend
b)
They are effective for reducing noise and identifying patterns.
c)
Adapts quickly to changing patterns in the data
d)
Calculating forecasts based on historical data
8.
8) Which of these are examples of autocorrelation?
a)
DACF
b)
ACF
c)
TACF
d)
PACF
9.
9) Which of these are examples of interpreting autocorrelation?
a)
ACF Interpretation
b)
PACF Interpretation
c)
Error Metrics
d)
Role in Model Selection
10.
10) Which of these are examples of forecast evaluation metrics?
a)
MAE
b)
MSE
c)
MAPE
d)
RMSE
100 %
