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correlation
(redirected from multiple correlation)

   Also found in: Dictionary/thesaurus, Legal, Financial, Encyclopedia, Wikipedia 0.01 sec.
correlation /cor·re·la·tion/ (kor″ĕ-la´shun) in statistics, the degree and direction of association of variable phenomena; how well one can be predicted from the other.
correlation
[kôr′əlā′shən]
Etymology: L, com + relatio, a carrying back
(in statistics) a relationship between variables that may be negative (inverse), positive, or curvilinear. Correlation is measured and expressed by using numeric scales.

coefficient [ko″ĕ-fish´ent]
1. an expression of the change or effect produced by the variation in certain variables, or of the ratio between two different quantities.
2. in chemistry, a number or figure put before a chemical formula to indicate how many times the formula is to be multiplied.
Bunsen coefficient the number of milliliters of gas dissolved in a milliliter of liquid at atmospheric pressure (760 mm Hg) and a specified temperature. Symbol, α.
confidence coefficient the probability that a confidence interval will contain the true value of the population parameter. For example, if the confidence coefficient is 0.95, 95 per cent of the confidence intervals so calculated for a large number of random samples would contain the parameter.
correlation coefficient a numerical value that indicates the degree and direction of relationship between two variables; the coefficients range in value from +1.00 (perfect positive relationship) to 0.00 (no relationship) to −1.00 (perfect negative or inverse relationship).
diffusion coefficient see diffusion coefficient.
coefficient of digestibility the proportion of a food that is digested compared to what is absorbed, expressed as a percentage.
dilution coefficient a number that expresses the effectiveness of a disinfectant for a given organism. It is calculated by the equation tcn = k, where t is the time required for killing all organisms, c is the concentration of disinfectant, n is the dilution coefficient, and k is a constant. A low coefficient indicates the disinfectant is effective at a low concentration.
linear absorption coefficient the fraction of a beam of radiation absorbed per unit thickness of absorber.
mass absorption coefficient the linear absorption coefficient divided by the density of the absorber.
phenol coefficient see phenol coefficient.
sedimentation coefficient the velocity at which a particle sediments in a centrifuge divided by the applied centrifugal field, the result having units of time (velocity divided by acceleration), usually expressed in Svedberg units (S), which equal 10−13 second. Sedimentation coefficients are used to characterize the size of macromolecules; they increase with increasing mass and density and are higher for globular than for fibrous particles.

correlation,
n a statistical procedure used to determine the degree to which two (or more) variables vary together. Correlation does not suggest a cause-effect relationship but only the degree of parallelism or concomitance between the variables, the cause of which may be unknown. The
Pearson product-moment correlation (r) is the most frequently used, and this coefficient is used unless another is specified.
correlation, coefficient number
n the result of statistical computation that indicates the strength of the tendency of two or more variables to vary concomitantly. The coefficient is expressed in fractions (that is, r = 80), ranging from 21 to 11, and indicates the magnitude of the relationship between the variables. Perfect direct correspondence is expressed by 11; perfect inverse correspondence by 21; complete lack of correspondence by 0. Fractional values are not read as percents.
correlation, linear,
n a correlation in which the regression line, the line that best describes the relationship between the two variables, is a straight line, so that for any increase in the magnitude of one variable there will be a proportional change in the magnitude of the other variable.
correlation, multiple,
n a complex correlation procedure in which scores on two or more variables are combined to predict scores on another variable, called the
dependent variable.

correlation
1. in neurology, the union of afferent impulses within a nerve center to bring about an appropriate response.
2. the degree to which statistical variables vary together.

correlation coefficient
see correlation coefficient.

correlation
Statistics The degree to which an event, factor, phenomenon, or variable is associated with, related to, or can be predicted from another; the degree to which a linear relationship exists between variables, measured by a correlation coefficient. See Cervical biopsy-cytology correlation, Clinical correlation, Correlation coefficient, Intertemporal correlation, Pearson correlation, Rank correlation.

Patient discussion about correlation.

Q. I have chronic hayfever problems in the mornings for the first hour.Seems to be a correlation with dairy produ I also got asthma 8 years ago at age 69, after having 2 pet cats. It is controlled with 2 puffs of Symbicord daily, am & pm. Anyone managed a complete cure?

A. Allergies/hay fever/asthma-No CURE as of now,controlled by medication. ther also are two types of asthma-cardiac asthma usually you find in older people,next time you talk to your DR-ask him-sometimes DRs do not want to upsat there patients--asthma attacks can happen from food allergies,see what he/she saids about it----good luck-mrfoot56

Q. What correlation is there between Diet and Fitness? do i attain those two in a similar way? do i have to attain one in order to complete/gain the other ?

A. agree with dominicus. if you want to be healthier, you should keep your eye on what you eat and how often/how regular you do the exercise.
the result will be best if you can combine those two in balance portion and in healthy and wise manner.

Good luck, and stay healthy always..

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At the multiple correlation analysis, gender was a stronger predictor for the required GH dose than the age (p<0.
Data Analyses Descriptive statistics and Pearson product correlations were determined for all study cohorts, with multiple correlations for cohorts 2 and 3 and regressions for cohort 3.
As can be seen, there are about 20 pairs that are cross-correlated, and which should therefore not be used in constructing multiple correlation models.
 
 
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