If data for a time series analysis are collected on an annual basis only, then the option(b) seasonal pattern can be ignored
Time series analysis is a specific way of analyzing a sequence of data points collected over an interval of time
The seasonal pattern is refers to the seasonal characteristics of the time series data. It is the predictable pattern that repeats at a certain frequency within one year, such as weekly, monthly, quarterly, etc.
A horizontal pattern exists when the data fluctuate randomly around a constant mean over time.
A trend pattern exists when there is a long-term increase or decrease in the series.
The cyclical component of a time series refers to fluctuations around the trend, excluding the irregular component, revealing a succession of phases of expansion and contraction
Here, the data for a time series analysis are collected on an annual basis, so the seasonal pattern can be ignored
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Answer:
6000000 divided by 10 = 600000
Step-by-step explanation:
Your answer should make sense
Example 250
word form:
two hundred and fifty
expanded form:
2+5+0
standard form:
250
20s + 3m = 73
5s + 17m = 197
Eliminate s terms: Multiply second equation by -4, then add to first equation:
-20s - 68m = -788
20s + 3m = 73
—————————-
-65m = -715
m = (-715)/(-65) = 11
20s + 3(11) = 73
20s = 40
s = 2
A movie download costs $11. A song download costs $2
