Heavy Weight Truck Retail Sales - Not Seas Adj
Why Use This Data Source In Your Models?
Motor vehicle sales: Heavy Weight Trucks indicates the number of drivers, number of vehicles, and vehicle supply and demand.
Heavy Weight Truck Retail Sales - Not Seas Adj
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Automated Data Profiling
Suggested Treatment:
Grain Transformation:
Source:
U.S. Bureau of Economic Analysis
Release:
Retail Sales
Units:
Thousands of Units, Not Seasonally Adjusted
Frequency:
Monthly
Available Through:
07/31/2023
Suggested Treatment:
The data shows auto correlation and seasonality. The data should be differenced and seasonally adjusted.
Grain Transformation:
Data is able to be distributed by time but not by geography. 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.
Following first order differencing, no further differencing is required based on the differenced ACF at lag one of -0.54
Trend Analysis:
The Kwiatkowski-Phillips-Schmidt-Shin (KPSS) test, KPSS Trend = 0.15 p-value = 0.04 indicates that the data is not stationary.
Distribution Analysis:
The Shapiro-Wilk test returned W = 0.98 with a p-value =0.06 indicating the data follows a normal distribution.
A skewness score of 0.19 indicates the data are fairly symmetrical.
Hartigan's dip test score of 0.03 with a p-value of 0.82 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, Motor Vehicle Retail Sales: Heavy Weight Trucks [HTRUCKSNSA], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/HTRUCKSNSA, December 16, 2019.
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