Bonus

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]
<Rutgers A, Other Science>

EditionsHeardPPBEasy %Medium %Hard %
15810.3490%12%2%

Back to bonuses

Conversion

TeamOpponentPart 1Part 2Part 3TotalParts
Chicago CIndiana A1001020EM
Chicago DIndiana B100010E
Illinois AWashU A100010E
MissouriChicago A100010E
Missouri S&TChicago B0000
WashU BIllinois B100010E

Summary

TournamentEditionHeardPPBEasy %Medium %Hard %
California2025-02-01310.00100%0%0%
Florida2025-02-01313.33100%33%0%
Great Lakes2025-02-01610.00100%0%0%
Midwest2025-02-01610.0083%17%0%
North2025-02-0136.6767%0%0%
Northeast2025-02-0158.0080%0%0%
Overflow2025-02-01510.00100%0%0%
South Central2025-02-01210.00100%0%0%
Southeast2025-02-0147.5075%0%0%
UK2025-02-011012.00100%10%10%
Upper Mid-Atlantic2025-02-01812.5088%38%0%
Upstate NY2025-02-01310.0067%33%0%