For Simple moving average, longer periods are _________ than shorter periods.
o o o o o o o o o o
Smoother or less smooth - ANSWER: ➡ Smoother o o o o o oo o
Creates a new time series from the original data by averaging adjacent values.
o o o o o o o o o o o o
helps illuminate how the data is varying over time.
o o o o o o o o
Affected by outliers and peaks. o o o o
Doesn't work well when there are strong seasonal, trend or cyclical components. - ANSWER:
o o o o o o o o o o o o o o
➡ Simple Moving Average
o o o o
values that are closest to the estimated value get the most weight in the moving average and
o o o o o o o o o o o o o o o o
values that are farther away get less.
o o o o o o o
adjust weight between recent and historic data. - ANSWER: ➡ Simple exponential smoothing
o o o o o o o o oo o o o
A smaller a (alpha) would be __________________.
o o o o o o
Smoother or more flat or less smooth - ANSWER: ➡ Smoother
o o o o o o o o oo o
Time series where we add in columns containing lags.
o o o o o o o o
Good for quarterly lag. - ANSWER: ➡ Autoregressive models
o o o o o oo o o
We can cautiously predict a little further away from the data. Better at fitting series that have
o o o o o o o o o o o o o o o o
trend, cyclical, and seasonal components.
o o o o o
Linear
- Additive: SLR
o o o
- Exponential: SLR but log(y)
o o o o
, Quarters: Add indicator variables - ANSWER: ➡ Multiple Regression Models
o o o o o oo o o o
the best prediction is the most recent point. Time series.
o o o o o o o o o
Sometimes described as white noise. - ANSWER: ➡ Random walk o o o o o o oo o o
Allow us to compare two or more means.
o o o o o o o
Ho: M1 = M2 = Mk (No difference in treatments)
o o o o o o o o o
Ha: At least one population mean is different from the rest. - ANSWER: ➡ One way ANOVA
o o o o o o o o o o o o oo o o o
an extra variable added to help predict this cyclical trend. - ANSWER: ➡ exogenous variable
o o o o o o o o o o o oo o o
estimates how much the means vary. o o o o o
gets bigger by adding another group. - ANSWER: ➡ sum of squares treatment
o o o o o o o oo o o o o
estimates how much variation there is within each group. - ANSWER: ➡ sums of squares error
o o o o o o o o o o oo o o o o
The confidence level is found by using 1 - a/j
o o o o o o o o o
where j is the number of comparisons. - ANSWER: ➡ Bonferroni method
o o o o o o o o oo o o
two factors with multiple levels.
o o o o
We look at effects using an interaction plot.
o o o o o o o
Interaction present -> multiple comparisons. o o o o
No interaction present-> look at main effects. - ANSWER: ➡ two way ANOVA
o o o o o o o o oo o o o
when the effects of one factor are NOT similar across all levels of the other factor. - ANSWER: ➡
o o o o o o o o o o o o o o o o o oo
interaction
o
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