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If you have a lot of variables that are being used to correlate to several other variables is there a statistical test that will show which variable tends to correlate most with the others?
Wiki User
∙ 13y ago
Yes and it is called "the line of best fit"
Wiki User
∙ 13y ago
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Multiple regression analysis examines the relationship of several dependent variables on the independent variable?
True.
How do you explain the analysis of variance assuming that your audience has not had a statistic class before?
The measurement of any statistical variable will vary from one observation to another. Some of this variation is systematic - due to variations in some other variable that "explains" these variations. There may be several such explanatory variables - acting in isolation or in conjunction with one another. Finally, there will be a residual variation which cannot be explained by any of these "explanatory" variables. The statistical technique called analysis of variance first calculates the total variation in the observations. The next step is to calculate what proportion of that variation can be "explained" by other variables, and finding the residual variation. A comparison of the explained variation with the residual variation is an indicator of whether or not the amount explained is statistically significant. The word "explain" is in quotes because there is not always a causal relationship. The causality may go in the opposite direction. Or the variables may be related to another variable that is not part of the analysis.
Is there one dependent variable in an experiment?
No, there can be several outputs that are dependent variables. For example, you will have a number of grades in different subjects when you finish school. So the experiment (your schooling) will result in a number of dependent variables. Similarly, the school's outcome for its "experiment" of teaching a number of pupils will be several sets exam grades: a different dependent variable for each subject.
How are polynomials used in science?
In solving multi variable equations such as in the analysis of MRI or CAT scan data. Several thousand equations in several thousand variables are utilized, impossible without a computer.
What should be the only independent variable?
In most real life cases, limiting an experiment to only one independent variable makes the whole experiment a waste of time. More often than not there are several independent variables.
What is regression analysis?
In statistics, regression analysis is a statistical process for estimating the relationships among variables. It includes many techniques for modeling and analyzing several variables, when the focus is on the relationship between a dependent variable and one or more independent variables.
What is the explanatory variable?
An explanatory variable is one which may be used to explain or predict changes in the values of another variable. There may be several explanatory variables.
Multiple regression analysis examines the relationship of several dependent variables on the independent variable?
True.
What is an experiment with the variable left out?
A control experiment with respect to that variable. There may be several variables and it may be necessary to leave each one of them out in a different control.
What has the author Robert A Adams written?
Robert A. Adams has written: 'Calculus' 'Calculus - a Complete Course' 'Calculus of several variables' -- subject(s): Calculus, Functions of several real variables, Vector analysis 'Single Variable Calculus Edition' 'Calculus of Several Variables' 'Calculus Complete Course'
How do you explain the analysis of variance assuming that your audience has not had a statistic class before?
The measurement of any statistical variable will vary from one observation to another. Some of this variation is systematic - due to variations in some other variable that "explains" these variations. There may be several such explanatory variables - acting in isolation or in conjunction with one another. Finally, there will be a residual variation which cannot be explained by any of these "explanatory" variables. The statistical technique called analysis of variance first calculates the total variation in the observations. The next step is to calculate what proportion of that variation can be "explained" by other variables, and finding the residual variation. A comparison of the explained variation with the residual variation is an indicator of whether or not the amount explained is statistically significant. The word "explain" is in quotes because there is not always a causal relationship. The causality may go in the opposite direction. Or the variables may be related to another variable that is not part of the analysis.
What is the full definition of multicollinearity?
Multicollinearity is when several independent variables are linked in some way. It can happen when attempting to study how individual independent variables contribute to the understanding of a dependent variable
Define multivariate analysis?
Multivariate is the study of random variables which are multidimensional. Multivariate study is based on the statistical principle of multivariate statistics, which involves observation and analysis of more than one statistical variable at a time. In design and analysis, the technique is used to perform trade studies across multiple dimensions while taking into account the effects of all variables on the responses of interest.Multivariate study in MarketingStatistical procedure used in market research where more than one variable is analyzed at the same time. The goal of multivariate study is to identify statistical relationships between the variables, such as the relationship of home and family, or to gauge the dependence of the variables on each other through techniques such as conjoint-analysisor multidimensional scaling. Multivariate study in Dental:A set of techniques used when variation in several variables has to be studied simultaneously. In statistics, multivariate analysis is interpreted as any analytic method that allows simultaneous study of two or more dependent variables.Multivariate study in http://www.answers.com/library/Sports%20Science%20and%20Medicine-cid-9961188A statistical technique in which several dependent variables are analyzed simultaneously. For example, in a study of muscle strength, data may be collected on the age, type of training, and sex of the subjects being studied. In multivariate analysis, the effect of each of these variables can be examined, and also the interaction between them.
How do you put a polynomial in standard form?
For a polynomial in a single variable you start with the term containing the highest power of that variable and then follow with the next highest power and so on. For polynomials is several variables, you first group them by the sum of the powers of all the variables (remember that y is y^1). Then, you order each group by the power of one variable, then another variable and so on.
Is there one dependent variable in an experiment?
No, there can be several outputs that are dependent variables. For example, you will have a number of grades in different subjects when you finish school. So the experiment (your schooling) will result in a number of dependent variables. Similarly, the school's outcome for its "experiment" of teaching a number of pupils will be several sets exam grades: a different dependent variable for each subject.
How are polynomials used in science?
In solving multi variable equations such as in the analysis of MRI or CAT scan data. Several thousand equations in several thousand variables are utilized, impossible without a computer.
How cam you determine what two equations' solution is?
Several methods exist. For example: solve one equation for one variable, replace that variable in the other equation. (Two simultaneous equations will often have two variables each.)
