answersLogoWhite

0


Best Answer

No, it would not. It is possible that the statistical model is under-specified and that the variables being studied are all "caused" by another variable.

User Avatar

Wiki User

7y ago
This answer is:
User Avatar

Add your answer:

Earn +20 pts
Q: Would the absence of independent variable imply a cause and effect relationship between 2 variables?
Write your answer...
Submit
Still have questions?
magnify glass
imp
Related questions

What is a independent vairable?

The object you are testing in a hypothesisThe Independant or manipulated variable is what 'I' or you are changing....if you are measuring the effect of fertilizer on plant height, the Independant variable is the presence/absence of fertilizer.


What does no trend mean?

Usually the expression is employed in the context of the relationship between a dependent variable and another variable. The latter may or may not be independent: often it is time but that is not necessary. In some cases there is some indication that that there is a linear relationship between the two variables and that relationship is referred to as a trend.Note that a trend is not the same as causation. There may appear to be a strong linear trend between two variables but the variables may not be directly related at all: they may both be related to a third variable. Also, the absence of linear trends does not imply that the variables are unrelated: there may be non-linear relationships.


What affect does salt to freezing point hypothesis indipendent and dependent variable?

An "hypothesis" doesn't have independent and dependent variables until you design an experiment to test it. If you want to test the effect that salt in solution has on the freezing point of the solution, then the independent variable is the presence, absence, or concentration of the salt. The dependent variable is the freezing temperature you measure in each condition.


Chart used to show the relationship of two values?

It can be. But equally, a scatterplot that looks really random can be used to show the absence of a relationship between two variables.


What kind of research is needed to identify relationships between variables but does not determine cause and effect?

Correlation. It will merely determine whether or not there is a linear relationship between the variables. However, the absence of correlation is not absence of a relation - only that the relationship is not linear.For example, if you take any set of points that are symmetrically placed about a vertical axis - such as from a circle, ellipse or parabola, or parts of a sine or cosine curve - then the correlation will be 0. But, the fact that these are well-defined curves clearly implies a very definite [non-linear] relationship.


What is a dummy variable in Operations research?

There are various forms. In linear programming, a dummy variable may be used to convert an inequality into an equation. For example x < 10 can be written as x + u = 10 where u > 0. In this case, it is also called a slack variable. Dummy variables are used in regression to indicate the presence or absence of a factor, or for binary variables. For example, male/female could be coded numerically as 0/1 where, because the question is binary, the exact coding does not matter.


What are the advantages and disadvantages of ex post facto research?

advantages:its ideal for testing demographic variables which cannot be manipulated. like a non-experimental design it doesn't require much to collect data, but just merely shows effects of a presence or absence of an Independent variable on a Dependent variable.disadvantages:it cannot acquire as much data as an experimental design, the levels of the "IV" are already established. If anything it tries to be an experimental design but it cannot.


What is arbitrary zero?

Arbitrary zero us a zero point which is set or convenience. It DOES NOT mean absence of the variable.


Linear regression r square?

r square is a measure of the linear relationship between the variables. The nearer r squared is to one, the stronger the linear relationship. However, a linear relatinship is NOT a causal relationship. Also the absence of a large r square is not evidence of no relationship: there may well be a non-linear relationship. It is commonly accepted that for scientific purposes, a very minimum of 0.98 is accepted for r2. This is because 0.98 actually allows for quite a variance (by eye)


A zero on a relationship line indicates?

the absence of any well-defined entities.


Relationship between level of significance and hypothesis testing?

A physician wishes to study the relationship between hypertension and smoking habits. From a random sample of 180 individuals, the following results were obtainedAt the 5% level of significance, test whether the absence of hypertension is independent of smoking habits.HypertensionSmoking habitNon-smokersModerate smokersHeavy smokersYes213630No482619


What does correlation mean in maths?

Correlation is a statistical measure of the linear association between two variables. It is important to remember that correlation does not mean causation and also that the absence of correlation does not mean the two variables are unrelated.