Auto & Light Truck Vehicle Sales - Seas Adj
Why Use This Data Source In Your Models?
Total vehicle sales indicates the number of drivers, number of vehicles, vehicle supply and demand, and overall economic strength.
Auto & Light Truck Vehicle Sales - Seas Adj
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Automated Data Profiling
Suggested Treatment:
Grain Transformation:
Source:
U.S. Bureau of Economic Analysis
Release:
Retail Sales
Units:
Millions of Units, Seasonally Adjusted Annual Rate
Frequency:
Monthly
Available Through:
11/30/2024
Suggested Treatment:
The data shows auto correlation and a non-normal distribution. The data should be differenced. While the Order Norm transformation, provides the best normality, the Yeo Johnson variable will also perform well.
Grain Transformation:
Data is able to be distributed by geography but not by time. The roll up method used is Sum.
Auto Correlation Analysis:
Data shows auto correlation indicating a need for differencing
The ACF indicates 1 order differencing is appropriate.
Further differencing is reccommended
Trend Analysis:
The Kwiatkowski-Phillips-Schmidt-Shin (KPSS) test, KPSS Trend = 0.45 p-value = 0.01 indicates that the data is not stationary.
Distribution Analysis:
The Shapiro-Wilk test returned W = 0.88 with a p-value =0.00 indicating the data does not follow a normal distribution.
A skewness score of -1.29 indicates the data are substantially skewed.
Hartigan's dip test score of 0.03 with a p-value of 0.66 inidcates the data is unimodal
Statistics (Pearson P/ df, lower => more normal)
Auto Correlation Function
Auto Correlation Function After Differencing
Partial Auto Correlation Function
Seasonal Impact
Seasonal and Trend Decompostion
Citation:
U.S. Bureau of Economic Analysis, Total Vehicle Sales [TOTALSA], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/TOTALSA, December 16, 2019.
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