Homework Answers
Correct option : Trend and Seasonality
Reason : We can see that the graph is going up and overall there is an increase over the time which represents an upward trend.
Now, Seasonality refers to patterns that repeat with a fixed period of time. We can see a definite pattern in the above plot where the values increase and decrease within a fixed interval of time.
So, we can say that the model is able to capture Trend and Seasonality.
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In this practice problem, you will work with the following data 5.0610.32 5.09 1213.05 9.58 13...
Please explain your answer Consider the time series plot of the differenced data in Figure 2....
Please explain your answer
Consider the time series plot of the differenced data in Figure 2. Time Series Plot of the Differenced Data 10 15 20 Time Figure 2 Which of the following characteristics are present in the time series plot of the differenced data (refer figure 2)? Periodicity Seasonality Periodicity and seasonality Periodicity and heteroskedasticity
Please explain your answer Suppose that we use least-squares to fit a polynomial trend to this...
Please explain your answer
Suppose that we use least-squares to fit a polynomial trend to this time series. Figure 4 displays the original time series plot along with the fitted values. Time Series and Polynomial Fit of the Trend 10 15 Time Figure 4 Which of the following characteristics is the model able to capture? Trend Seasonality Trend and seasonality Seasonality and heteroskedasticity
Please explain your answer Suppose that we use least-squares to fit a seasonal-means trend to this...
Please explain your answer
Suppose that we use least-squares to fit a seasonal-means trend to this time series. Figure 3 displays the original time series plot along wtih the fitted values. Time Series and Seasonal-Means Fit 10 15 Time Figure 3 Which of the following characteristics is the model able to capture? Trend Seasonality ● Trend and seasonality Seasonality and heteroskedasticity
Please explain your answer
Consider the time series plot of the differenced data in Figure 2. Time Series Plot of the Differenced Data 10 15 20 Time Figure 2 Which of the following characteristics are present in the time series plot of the differenced data (refer figure 2)? Periodicity Seasonality Periodicity and seasonality Periodicity and heteroskedasticity
Please explain your answer
Suppose that we use least-squares to fit a polynomial trend to this time series. Figure 4 displays the original time series plot along with the fitted values. Time Series and Polynomial Fit of the Trend 10 15 Time Figure 4 Which of the following characteristics is the model able to capture? Trend Seasonality Trend and seasonality Seasonality and heteroskedasticity
Please explain your answer
Suppose that we use least-squares to fit a seasonal-means trend to this time series. Figure 3 displays the original time series plot along wtih the fitted values. Time Series and Seasonal-Means Fit 10 15 Time Figure 3 Which of the following characteristics is the model able to capture? Trend Seasonality ● Trend and seasonality Seasonality and heteroskedasticity
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