READY SIGNAL CONTROL DATA

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

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Suggested Treatment:

The data shows auto correlation, seasonality and a non-normal distribution. The data should be differenced and seasonally adjusted. While the Yeo Johnson transformation, provides the best normality, the Arcsin variable will also perform well.

Grain Transformation:

Data is able to be distributed by time but not by geography. The roll up method used is Sum.

Source:
U.S. Bureau of Economic Analysis

Release:
Retail Sales

Units:
Thousands of Units, Not Seasonally Adjusted

Frequency:
Monthly

Available Through:
09/30/2022

Suggested Treatment:

The data shows auto correlation, seasonality and a non-normal distribution. The data should be differenced and seasonally adjusted. While the Yeo Johnson transformation, provides the best normality, the Arcsin variable will also perform well.

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 = 0.19 p-value = 0.02 indicates that the data is not stationary.

Distribution Analysis:

The Shapiro-Wilk test returned W = 0.97 with a p-value =0.02 indicating the data does not follow a normal distribution.

A skewness score of 0.34 indicates the data are fairly symmetrical.

Hartigan's dip test score of 0.03 with a p-value of 0.83 inidcates the data is unimodal

Statistics (Pearson P/ df, lower => more normal)

No transform
1.04
Box-cox
NA
Log_b(x-a)
0.81
sqrt(x+a)
0.96
exp(x)
10.55
arcsinh(x)
0.81
Yeo-Johnson
0.80
OrderNorm
1.03

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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