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In time series analysis, what statement describes a MA(q) process?
Suggested Answer: A
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38 comments · newest first
LA
Lai
10 months ago
Definitely not B, that's just wrong.
SA
Sabina
10 months ago
Wait, isn't it about the previous values, not just deviations?
SO
Sol
10 months ago
Totally agree, option A is spot on!
DY
Dyan
10 months ago
I thought it was about the polynomial, but I guess not!
BE
Beckie
10 months ago
MA(q) means current deviation depends on q previous deviations.
ES
Estrella
11 months ago
I definitely recall that MA(q) focuses on previous deviations, so A seems correct. But I wonder if there's a trick in the wording that I'm missing.
JO
Joanna
11 months ago
I'm a bit confused; I thought MA(q) was more about the values themselves rather than just deviations. Could it be C instead?
KA
Kallie
11 months ago
I remember practicing a question similar to this, and I think it was about how past errors affect the current value. So, A sounds right to me.
NI
Nicholle
11 months ago
I think the MA(q) process is about how current deviations relate to previous ones, so maybe it's A? But I'm not entirely sure.
BR
Brandon
12 months ago
I'm feeling pretty confident about this one. A MA(q) process means the current deviation from the mean depends on the q previous deviations. So option A is the correct answer.
JE
Jesse
12 months ago
Wait, I thought MA processes were about the deviations, not the actual values. I'm a bit confused now - I'll have to review my notes on time series models before answering this.
MA
Malinda
12 months ago
Okay, I've got this. A MA(q) process means the current time series value depends on the q previous values, not the deviations. So I'm going to go with option C.
AL
Allene
1 year ago
Hmm, I'm a little unsure about this one. I know MA processes have something to do with the current value depending on previous values, but I can't quite remember the exact definition. I'll have to think this through carefully.
AD
Adolph
1 year ago
I'm pretty sure this is asking about a moving average (MA) process in time series analysis. I think option A is the correct answer - the current deviation from the mean depends on the q previous deviations.
AN
Annmarie
1 year ago
I agree with Cassandra, A is the correct answer.
CA
Cassandra
1 year ago
But A makes sense because the current deviation depends on previous deviations.
PA
Paulene
1 year ago
I disagree, I believe it's C.
FR
Freida
1 year ago
Wait, there's a 'Moving Average' process? Does that mean I can just take the average of the last few values and call it a day? Sign me up for that easy A!
AR
Aron
1 year ago
User 2: C) Current time series value depends on the q previous values
BR
Broderick
1 year ago
User 1: A) Current deviation from the time series mean depends on the q previous deviations
CA
Cassandra
1 year ago
I think the answer is A.
DI
Diego
1 year ago
Hmm, this is a tough one. I'm tempted to just pick the longest answer option, but I have a feeling that's not the way to approach these questions. Let me think this through... yep, A is the winner for me.
MI
Misty
1 year ago
I'm going with A as well.
MI
Mila
1 year ago
I'm not sure, but A sounds right to me.
LI
Lisha
1 year ago
I agree, A makes the most sense.
CH
Charlene
1 year ago
I think A is the correct answer.
BE
Belen
1 year ago
I'm a bit stumped on this one. Polynomial fits? Nah, that's way too complicated for a simple MA(q) process. I'll go with A, it's the only one that makes sense to me.
WI
Willodean
1 year ago
Yeah, A makes the most sense for a MA(q) process.
EM
Emogene
1 year ago
I agree, A seems to be the most logical choice.
ER
Erinn
1 year ago
I think A is the correct answer.
CH
Cherrie
1 year ago
C'mon, the question clearly says 'time series analysis' - the current value has to depend on the previous values, not some random quotient. Option C is the way to go here.
CO
Coral
1 year ago
Definitely, option C aligns with the concept of how a MA(q) process works.
LO
Loreen
1 year ago
Yeah, it's important to consider the previous values when analyzing time series data.
TR
Tracey
1 year ago
I agree, option C makes the most sense for a MA(q) process in time series analysis.
MI
Miesha
1 year ago
Option A definitely sounds like the correct description of a MA(q) process. The current deviation depends on the previous q deviations, as the name 'Moving Average' suggests.
JO
Joseph
1 year ago
That's right, the name 'Moving Average' implies that the current deviation is based on past deviations.
CO
Colette
1 year ago
Yes, the current deviation depends on the q previous deviations in a Moving Average process.
KE
Keneth
1 year ago
I agree, option A is the correct description of a MA(q) process.