time - Florida - Buzzpoints App

Question

The Box–Jenkins method can be used to select the parameters of an ARIMA (“uh-REE-muh”) model for data indexed by this variable. For 10 points each:

[10e] Name this variable plotted on the x-axis of namesake “series” of data. Stochastic processes like Brownian motion and stock market returns are often indexed by this variable.

ANSWER: time [prompt on t]

[10h] The Box–Jenkins method uses a variant of correlation denoted by this adjective, which first regresses off data at shorter lags. Similarly, this adjective denotes a regression diagnostics method that plots the response against the added variable, after regressing off all other variables.

ANSWER: partial [accept partial correlation or partial autocorrelation function; accept partial regression]

[10m] An early step of the Box–Jenkins method is to transform or apply differencing to better attain this property. A time series with this property has the same joint probability at any point in time.

ANSWER: stationary [or stationarity]

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Summary


California	2025-02-01	Y	3	10.00	100%	0%	0%
Florida	2025-02-01	Y	3	13.33	100%	33%	0%
Great Lakes	2025-02-01	Y	6	10.00	100%	0%	0%
Midwest	2025-02-01	Y	6	10.00	83%	17%	0%
North	2025-02-01	Y	3	6.67	67%	0%	0%
Northeast	2025-02-01	Y	5	8.00	80%	0%	0%
Overflow	2025-02-01	Y	5	10.00	100%	0%	0%
South Central	2025-02-01	Y	2	10.00	100%	0%	0%
Southeast	2025-02-01	Y	4	7.50	75%	0%	0%
UK	2025-02-01	Y	10	12.00	100%	10%	10%
Upper Mid-Atlantic	2025-02-01	Y	8	12.50	88%	38%	0%
Upstate NY	2025-02-01	Y	3	10.00	67%	33%	0%

Data


UCF B	UCF C	10	0	10
Florida A	Florida State A	10	0	10
Florida B	Valencia A	10	10	20