StateMaster - Correlations > Industry > Transportation equipment manufacturing

	Variable	Strength
...and	Industry > Transportation equipment manufacturing > Total cost of materials	98%	[plot \| correlate \| graph]
...and	Industry > Transportation equipment manufacturing > Production workers wages	96%	[plot \| correlate \| graph]
...and	Industry > Transportation equipment manufacturing > Value added	94%	[plot \| correlate \| graph]
...and	Labor > Transportation equipment manufacturing > Production workers hours	93%	[plot \| correlate \| graph]
...and	Industry > Transportation equipment manufacturing > Annual payroll	88%	[plot \| correlate \| graph]
...and	Economy > GSP > Real GSP > Motor vehicle, body, trailer, and parts manufacturing	88%	[plot \| correlate \| graph]
...and	Economy > GSP > Nominal GSP > Motor vehicle, body, trailer, and parts manufacturing	88%	[plot \| correlate \| graph]
...and	Labor > Transportation equipment manufacturing > Number of employees	86%	[plot \| correlate \| graph]
...and	Industry > Transportation equipment manufacturing > Total capital expenditures	79%	[plot \| correlate \| graph]
...and	Economy > GSP > Compensation of Employees > Motor vehicle, body, trailer, and parts manufacturing	79%	[plot \| correlate \| graph]
...and	Economy > GSP > Real GSP > Primary metal manufacturing	68%	[plot \| correlate \| graph]
...and	Economy > GSP > Nominal GSP > Primary metal manufacturing	68%	[plot \| correlate \| graph]
...and	Economy > GSP > Compensation of Employees > Primary metal manufacturing	65%	[plot \| correlate \| graph]
...and	Economy > GSP > Gross Operating Surplus > Motor vehicle, body, trailer, and parts manufacturing	62%	[plot \| correlate \| graph]
...and	Industry > Plastics & rubber products manufacturing > Production workers wages	59%	[plot \| correlate \| graph]
...and	Industry > Plastics & rubber products manufacturing > Total cost of materials	59%	[plot \| correlate \| graph]
...and	Economy > GSP > Compensation of Employees > Plastics and rubber products manufacturing	59%	[plot \| correlate \| graph]
...and	Industry > Plastics & rubber products manufacturing > Annual payroll	59%	[plot \| correlate \| graph]
...and	Labor > Primary metal manufacturing > Production workers hours	59%	[plot \| correlate \| graph]
...and	Industry > Primary metal manufacturing > Production workers wages	59%	[plot \| correlate \| graph]
...and	Industry > Primary metal manufacturing > Total cost of materials	58%	[plot \| correlate \| graph]
...and	Labor > Primary metal manufacturing > Production workers (average per year)	58%	[plot \| correlate \| graph]
...and	Industry > Plastics & rubber products manufacturing > Total value of shipments	58%	[plot \| correlate \| graph]
...and	Industry > Fabricated metal product manufacturing > Total cost of materials	58%	[plot \| correlate \| graph]
...and	Industry > Transportation equipment manufacturing > Total value of shipments (per $ GDP)	58%	[plot \| correlate \| graph]
...and	Labor > Plastics & rubber products manufacturing > Production workers (average per year)	57%	[plot \| correlate \| graph]
...and	Industry > Transportation equipment manufacturing > Value added (per $ GDP)	56%	[plot \| correlate \| graph]
...and	Industry > Primary metal manufacturing > Total value of shipments	56%	[plot \| correlate \| graph]
...and	Industry > Fabricated metal product manufacturing > Total capital expenditures	56%	[plot \| correlate \| graph]
...and	Industry > Total Manufacturing > Production workers wages	55%	[plot \| correlate \| graph]
...and	Economy > GSP > Real GSP > Motor vehicle, body, trailer, and parts manufacturing (per $ GDP)	55%	[plot \| correlate \| graph]
...and	Economy > GSP > Nominal GSP > Motor vehicle, body, trailer, and parts manufacturing (per $ GDP)	55%	[plot \| correlate \| graph]
...and	Industry > Transportation equipment manufacturing > Production workers wages (per $ GDP)	55%	[plot \| correlate \| graph]
...and	Industry > Fabricated metal product manufacturing > Total value of shipments	55%	[plot \| correlate \| graph]
...and	Economy > GSP > Nominal GSP > Motor vehicle, body, trailer, and parts manufacturing (per capita)	55%	[plot \| correlate \| graph]
...and	Economy > GSP > Real GSP > Motor vehicle, body, trailer, and parts manufacturing (per capita)	55%	[plot \| correlate \| graph]
...and	Industry > Plastics & rubber products manufacturing > Total capital expenditures	55%	[plot \| correlate \| graph]
...and	Industry > Primary metal manufacturing > Total capital expenditures	54%	[plot \| correlate \| graph]
...and	Industry > Plastics & rubber products manufacturing > Value added	54%	[plot \| correlate \| graph]
...and	Industry > Electrical equipment, appliance, & component manufacturing > Production workers wages	53%	[plot \| correlate \| graph]
...and	Industry > Transportation equipment manufacturing > Total cost of materials (per $ GDP)	53%	[plot \| correlate \| graph]
...and	Industry > Transportation equipment manufacturing > Annual payroll (per $ GDP)	53%	[plot \| correlate \| graph]
...and	Industry > Fabricated metal product manufacturing > Value added	52%	[plot \| correlate \| graph]
...and	Labor > Transportation equipment manufacturing > Production workers hours (per capita)	52%	[plot \| correlate \| graph]
...and	Industry > Transportation equipment manufacturing > Annual payroll (per capita)	51%	[plot \| correlate \| graph]
...and	Economy > GSP > Real GSP > Plastics and rubber products manufacturing	49%	[plot \| correlate \| graph]
...and	Economy > GSP > Nominal GSP > Plastics and rubber products manufacturing	49%	[plot \| correlate \| graph]
...and	Industry > Primary metal manufacturing > Value added	49%	[plot \| correlate \| graph]
...and	Labor > Total Manufacturing > Production workers hours	49%	[plot \| correlate \| graph]
...and	Labor > Machinery manufacturing > Number of employees	49%	[plot \| correlate \| graph]
	Average:	63%

About Correlations:

A correlation is a statistical measure of similarity between at least two given sets of data. StateMaster's correlations compare two variables from our database and reveal statistical relationships between them. The percentages you see represent the strength (or likelihood) that a change in the topic variable is matched by a change in the listed variables below it. But remember: These correlations do not imply causation, that is, one does not necessarily cause the other. Also, not all variables contain all states, rather subsets of states matched together.

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Map & Graph: states ranked

NOTES:

Outliers have been removed only where they are outside 3 standard deviations of the mean.
Only variable pairs where at least 15 states match for each have been considered.
Strength is given by the correlation coefficient (R squared). It is the fraction of variation in Y that can be attributed to the variation in X. 100% signifies a perfect fit (R squared of 1). The top 50 such stats are displayed

DEFINITION: Includes the received or receivable net selling values, “Free on Board�? (FOB) plant (exclusive of freight and taxes), of all products shipped, both primary and secondary, as well as all miscellaneous receipts, such as receipts for contract work performed for others, installation and repair, sales of scrap, and sales of products bought and sold without further processing. Included are all items made by or for the establishments from material owned by it, whether sold, transferred to other plants of the same company, or shipped on consignment. The net selling value of products made in one plant on a contract basis from materials owned by another is reported by the plant providing the materials.

SOURCE: Annual Survey of Manufactures, 2004

Correlations > Industry Statistics > Transportation equipment manufacturing > Total value of shipments

Correlations between Industry > Transportation equipment manufacturing > Total value of shipments ...

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