For the following MA (3) process y t = μ + Ε t + θ 1 Ε t -1 + θ 2 Ε t -2 + θ 3 Ε t -3 , where σ t is a zero mean white noise process with variance σ 2
MA(q) process only has memory of length q. This means that all of the autocorrelation coefficients will have a value of zero beyond lag q. This can be seen by examining the MA equation, and seeing that only the past q disturbance terms enter into the equation, so that if we iterate this equation forward through time by more than q periods, the current value of the disturbance term will no longer affect y. Finally, since the autocorrelation function at lag zero is the correlation of y at time t with y at time t (i.e. the correlation of y_t with itself), it must be one by definition.
2, 13, 27, 44, ?, 87
96 48 24 ? 6 3
...16 25 36 49 64 ?
√(10198 )× √(7220 )÷ 16.69 + 2010.375= ?
123, 130, 116, ?, 109, 144
13, 28, ?, 118, 238, 478
216, 81, 297, 378, ?, 1035, 1728
250, 279, 311, 349, 396, ?
3.6 × 1.5 + 8.4 × 2.5 – 9.2 × 3.5 = ? – 9.2 × 4.4
56, 27, 14.5, 6.25, ?, 1.0625