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Correlations > Industry Statistics > Electrical equipment, appliance, & component manufacturing > Total capital expenditures

VIEW DATA:   Totals   Per $ GDP  
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Correlations between Industry > Electrical equipment, appliance, & component manufacturing > Total capital expenditures ...

Variable Strength
...and  Economy > GSP > Compensation of Employees > Electrical equipment and appliance manufacturing 90% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Electrical equipment and appliance manufacturing 88% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Electrical equipment and appliance manufacturing 88% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Total value of shipments 88% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Total cost of materials 86% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Value added 83% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Production workers hours 79% [plot | correlate | graph]
...and  Labor > Electrical equipment, appliance, & component manufacturing > Number of employees 77% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Annual payroll 76% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total value of shipments 76% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total cost of materials 76% [plot | correlate | graph]
...and  Industry > Food manufacturing > Value added 75% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Value added 74% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Value added 73% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Truck transportation 72% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Annual payroll 72% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Plastics and rubber products manufacturing 72% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Plastics and rubber products manufacturing 71% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Plastics and rubber products manufacturing 71% [plot | correlate | graph]
...and  Labor > Paper manufacturing > Production workers hours 71% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Fabricated metal product manufacturing 71% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Production workers wages 70% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Truck transportation 69% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Truck transportation 69% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Number of employees 69% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Fabricated metal product manufacturing 69% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Fabricated metal product manufacturing 69% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total value of shipments 69% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Production workers wages 68% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total cost of materials 68% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Value added 68% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Electrical equipment and appliance manufacturing 68% [plot | correlate | graph]
...and  Labor > Fabricated metal product manufacturing > Number of employees 68% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Food product manufacturing 68% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total capital expenditures 67% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total value of shipments 67% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Fabricated metal product manufacturing 66% [plot | correlate | graph]
...and  Industry > Food manufacturing > Total value of shipments 66% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Annual payroll 66% [plot | correlate | graph]
...and  Industry > Food manufacturing > Annual payroll 65% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Machinery manufacturing 65% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Machinery manufacturing 65% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Total value of shipments 65% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Total cost of materials 65% [plot | correlate | graph]
...and  Industry > Food manufacturing > Production workers wages 64% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Production workers (average per year) 64% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Machinery manufacturing 64% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total capital expenditures 64% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Production workers wages 64% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Value added 64% [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:

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: Represents the total new and used capital expenditures reported by establishments in operation and any known plants under construction.

SOURCE: Annual Survey of Manufactures, 2004

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