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Correlations > Health Statistics > Average Monthly MA Payment Rates (Weighted)

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Showing latest available data.

Correlations between Health > Average Monthly MA Payment Rates (Weighted) ...

Variable Strength
...and  Health > No. of MA Contract Withdrawals (inverse) 73% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Mining, except oil and gas (per $ GDP) (inverse) 70% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Mining, except oil and gas (per $ GDP) (inverse) 70% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Mining, except oil and gas (per $ GDP) (inverse) 68% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Mining, except oil and gas (per capita) (inverse) 64% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Mining, except oil and gas (per capita) (inverse) 64% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Mining, except oil and gas (per capita) (inverse) 62% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Wood product manufacturing (per $ GDP) (inverse) 54% [plot | correlate | graph]
...and  Energy > Electric Power Industry Emissions > CO2 (per $ GDP) (inverse) 50% [plot | correlate | graph]
...and  Economy > GSP > Chain-type Quantity Indexes > Amusements, gambling, and recreation (inverse) 49% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Pipeline transportation (per $ GDP) (inverse) 47% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Pipeline transportation (per $ GDP) (inverse) 47% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Annual payroll (per capita) (inverse) 46% [plot | correlate | graph]
...and  Industry > Chemical manufacturing > Total cost of materials (per $ GDP) (inverse) 41% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Wood product manufacturing (per capita) (inverse) 41% [plot | correlate | graph]
...and  Energy > Electric Power Industry Emissions > CO2 (per capita) (inverse) 40% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Annual payroll (per $ GDP) (inverse) 39% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Pipeline transportation (per capita) (inverse) 39% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Pipeline transportation (per capita) (inverse) 38% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Utilities (per $ GDP) (inverse) 36% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Utilities (per $ GDP) (inverse) 36% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Wood product manufacturing (per $ GDP) (inverse) 36% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total capital expenditures (per $ GDP) (inverse) 36% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Production workers wages (per $ GDP) (inverse) 35% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Wood product manufacturing (per $ GDP) (inverse) 35% [plot | correlate | graph]
...and  Crime > Capital Punishment > Electrocution 32% [plot | correlate | graph]
...and  Labor > Primary metal manufacturing > Number of employees (per capita) (inverse) 32% [plot | correlate | graph]
...and  Health > Oral health > Loss of natural teeth (inverse) 32% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Value added (per $ GDP) (inverse) 31% [plot | correlate | graph]
...and  Labor > Wood product manufacturing > Production workers (average per year) (per capita) (inverse) 30% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Annual payroll (per $ GDP) (inverse) 30% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Mining, except oil and gas (inverse) 29% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Mining, except oil and gas (inverse) 29% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Wood product manufacturing (per capita) (inverse) 29% [plot | correlate | graph]
...and  Industry > Chemical manufacturing > Total value of shipments (per $ GDP) (inverse) 28% [plot | correlate | graph]
...and  Labor > Wood product manufacturing > Number of employees (per capita) (inverse) 28% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Wood product manufacturing (per capita) (inverse) 28% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Mining, except oil and gas (inverse) 28% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Administrative and support services (per capita) 27% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Administrative and support services (per capita) 27% [plot | correlate | graph]
...and  People > Percent of People 21 to 64 Years Old With a Disability (inverse) 26% [plot | correlate | graph]
...and  Energy > Conservation/Energy-Efficiency R & D Programs- Expenditures (per $ GDP) (inverse) 26% [plot | correlate | graph]
...and  Health > Syphilis Rate 26% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Total value of shipments (per $ GDP) (inverse) 26% [plot | correlate | graph]
...and  Health > SSDI Beneficiaries as % of Population (inverse) 25% [plot | correlate | graph]
...and  Health > Nonfederal Primary Care Physicians (inverse) 25% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Utilities (per $ GDP) (inverse) 24% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Annual payroll (per capita) (inverse) 24% [plot | correlate | graph]
...and  Lifestyle > Percent of Women Who Never Married 24% [plot | correlate | graph]
...and  Education > Elementary & Secondary Finance > Non-Instructional Expend.- Subtotal (per $ GDP) (inverse) 24% [plot | correlate | graph]
Average: 38%

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: Average Monthly Payment Rates (Weighted), 2005

SOURCE: statehealthfacts.org

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