Patterns
Performance measures
Residuals
Method
Parameters
100

Data points are recorded in chronological order

What is a time series?

100

If the value is less than 10%, the model has a good fit

What is MAPE?

100

It is the difference between the observed value and the forecast

What is a residual?

100

Methods that have level and slope effects?

What are trended time series method?

100

The parameters of the double exponential smoothing

What is level and trend?

200

Regular patterns that repeat over a fixed and small period

What is a seasonality?

200

It is used to measure an average relative error in %

What is MAPE?

200

The average value is equal to zero

What is the residual?

200

Uses previous observations to forecast future ones based on averaging

What is moving average method?

200

It is the weight that is assigned to the observed data

What is the smoothing constant (alpha)?

300

Regular patterns that repeat over a fixed and large period

What is cyclicity?

300

Penalizes larger errores more heavily

What is the MSE?

300

It is used to determine if errors are related

What is the independence test?

300

Method that separates trend, seasonal and irregular components

What is decomposition?

300

Weight given to the most recent observation

What is a smoothing constant?

400

It measures how a variable's value at one point in time is correlated with its values at earlier points in time (lags).

What is autocorrelation?

400
It is the variance of the model

What is MSE?

400

Residuals that are normally distributed, independent and with equal variance

What is white noise?

400

Method used to model correlated data

What is the ARIMA method?

400

It is the weight assigned to predicted value in exponential smoothing

What is 1 - smoothing constant (alpha)?

500

A company’s sales increase over time, but the amplitude of seasonal variation also grows.

What is a multiplicative decomposition model?¡

500

It is used to identify a small fit but not the best fit of the model

What is the MSE?

500

Its objective is to detect patterns not captured by the model

What is the residual analysis?

500

Method that models both trend and seasonality?

What is Decomposition? or What is Holt-Winters?

500

The number of autoregressive terms

What is p in ARIMA?

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