StateMaster - Correlations > Industry > Electrical equipment, appliance, & component manufacturing

	Variable	Strength
...and	Industry > Electrical equipment, appliance, & component manufacturing > Total cost of materials	96%	[plot \| correlate \| graph]
...and	Industry > Electrical equipment, appliance, & component manufacturing > Value added	95%	[plot \| correlate \| graph]
...and	Economy > GSP > Nominal GSP > Electrical equipment and appliance manufacturing	94%	[plot \| correlate \| graph]
...and	Economy > GSP > Real GSP > Electrical equipment and appliance manufacturing	94%	[plot \| correlate \| graph]
...and	Economy > GSP > Compensation of Employees > Electrical equipment and appliance manufacturing	89%	[plot \| correlate \| graph]
...and	Industry > Electrical equipment, appliance, & component manufacturing > Total capital expenditures	88%	[plot \| correlate \| graph]
...and	Industry > Electrical equipment, appliance, & component manufacturing > Annual payroll	83%	[plot \| correlate \| graph]
...and	Labor > Electrical equipment, appliance, & component manufacturing > Number of employees	83%	[plot \| correlate \| graph]
...and	Economy > GSP > Gross Operating Surplus > Electrical equipment and appliance manufacturing	79%	[plot \| correlate \| graph]
...and	Industry > Electrical equipment, appliance, & component manufacturing > Production workers wages	78%	[plot \| correlate \| graph]
...and	Economy > GSP > Compensation of Employees > Plastics and rubber products manufacturing	76%	[plot \| correlate \| graph]
...and	Industry > Plastics & rubber products manufacturing > Total value of shipments	75%	[plot \| correlate \| graph]
...and	Industry > Plastics & rubber products manufacturing > Total cost of materials	74%	[plot \| correlate \| graph]
...and	Economy > GSP > Real GSP > Plastics and rubber products manufacturing	74%	[plot \| correlate \| graph]
...and	Economy > GSP > Nominal GSP > Plastics and rubber products manufacturing	74%	[plot \| correlate \| graph]
...and	Industry > Plastics & rubber products manufacturing > Value added	74%	[plot \| correlate \| graph]
...and	Labor > Paper manufacturing > Production workers hours	73%	[plot \| correlate \| graph]
...and	Industry > Fabricated metal product manufacturing > Total cost of materials	73%	[plot \| correlate \| graph]
...and	Industry > Fabricated metal product manufacturing > Total value of shipments	71%	[plot \| correlate \| graph]
...and	Economy > GSP > Gross Operating Surplus > Fabricated metal product manufacturing	71%	[plot \| correlate \| graph]
...and	Industry > Plastics & rubber products manufacturing > Annual payroll	69%	[plot \| correlate \| graph]
...and	Economy > GSP > Compensation of Employees > Paper manufacturing	68%	[plot \| correlate \| graph]
...and	Industry > Fabricated metal product manufacturing > Value added	68%	[plot \| correlate \| graph]
...and	Industry > Plastics & rubber products manufacturing > Total capital expenditures	68%	[plot \| correlate \| graph]
...and	Economy > GSP > Real GSP > Fabricated metal product manufacturing	68%	[plot \| correlate \| graph]
...and	Economy > GSP > Nominal GSP > Fabricated metal product manufacturing	68%	[plot \| correlate \| graph]
...and	Labor > Electrical equipment, appliance, & component manufacturing > Production workers hours	66%	[plot \| correlate \| graph]
...and	Labor > Total Manufacturing > Number of employees	66%	[plot \| correlate \| graph]
...and	Industry > Paper manufacturing > Total cost of materials	66%	[plot \| correlate \| graph]
...and	Industry > Fabricated metal product manufacturing > Total capital expenditures	66%	[plot \| correlate \| graph]
...and	Labor > Paper manufacturing > Production workers (average per year)	65%	[plot \| correlate \| graph]
...and	Labor > Total Manufacturing > Production workers hours	65%	[plot \| correlate \| graph]
...and	Economy > GSP > Compensation of Employees > Fabricated metal product manufacturing	65%	[plot \| correlate \| graph]
...and	Labor > Fabricated metal product manufacturing > Number of employees	65%	[plot \| correlate \| graph]
...and	Industry > Total Manufacturing > Production workers wages	65%	[plot \| correlate \| graph]
...and	Labor > Machinery manufacturing > Production workers hours	64%	[plot \| correlate \| graph]
...and	Industry > Fabricated metal product manufacturing > Annual payroll	64%	[plot \| correlate \| graph]
...and	Industry > Food manufacturing > Value added	64%	[plot \| correlate \| graph]
...and	Industry > Food manufacturing > Annual payroll	63%	[plot \| correlate \| graph]
...and	Economy > GSP > Gross Operating Surplus > Plastics and rubber products manufacturing	63%	[plot \| correlate \| graph]
...and	Industry > Paper manufacturing > Total value of shipments	63%	[plot \| correlate \| graph]
...and	Industry > Food manufacturing > Production workers wages	63%	[plot \| correlate \| graph]
...and	Labor > Plastics & rubber products manufacturing > Production workers (average per year)	63%	[plot \| correlate \| graph]
...and	Industry > Fabricated metal product manufacturing > Production workers wages	63%	[plot \| correlate \| graph]
...and	Industry > Machinery manufacturing > Total cost of materials	62%	[plot \| correlate \| graph]
...and	Labor > Electrical equipment, appliance, & component manufacturing > Production workers (average per year)	62%	[plot \| correlate \| graph]
...and	Industry > Machinery manufacturing > Total value of shipments	62%	[plot \| correlate \| graph]
...and	Economy > GSP > Compensation of Employees > Truck transportation	62%	[plot \| correlate \| graph]
...and	Economy > GSP > Nominal GSP > Machinery manufacturing	62%	[plot \| correlate \| graph]
...and	Economy > GSP > Real GSP > Machinery manufacturing	62%	[plot \| correlate \| graph]
	Average:	71%

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.

VIEW FOR THIS VARIABLE:

Detailed correlation information
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 > Electrical equipment, appliance, & component manufacturing > Total value of shipments

Correlations between Industry > Electrical equipment, appliance, & component manufacturing > Total value of shipments ...

About Correlations:

VIEW FOR THIS VARIABLE:

NOTES:

Related links: