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It is important to determine what the correlation is so that you can control it. If you can find out how two factors are related you can manipulate the situation.
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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.
Can period affect a girls height?
A woman's period does not affect her height. Her height is affected by the genetics of her family which will determine how tall she grows.
Correlation between eye color and height?
there is none.
Is there a correlation between high tide and moon rise?
yes there is a correlation between high tide and moon rise because the higher the moon gets in the sky the higher the tide will be.
How is correlation used when studying history?
a correlation is a pattern relating to two subjects used in comparison. if two subjects show a correlation, they are linked, and show a pattern. if they show a positive correlation, then as one rises, so does the other e.g. as the numbers of smokers increases, so does he number of people with lung cancer. if there is a negative correlation, then as one rises, the other onefalls as a result. e.g. as the number of people in rehab increases, the number of drug abusers descreases. sorry for using such unpleasnts topics but you understand now? good =] this could easily be applied to history just look for a pattern in events. there is a positive correlation between the number of German soldiers and the number of british soldiers killed during the war. this is because as the number of british soldiers killed rose, so did the numbers of German soldiers killed. could someone please give anotehr example? though my description of correlation is correct the example is a bit poor. sorry im not a histoy person =[
What is faunal correlation?
Faunal Cross-correlation is the use of animal bones found within an archaeological site to determine a relative date.
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.
What is correlation What are the different types of correlation Why is it important to determine correlation What does it mean when it is said that two variables have no correlation?
A correlation is the relationship between two or more variables. Correlations are described as either weak or strong, and positive or negative. There can be a perfect correlation between variables, or no correlation between variables. It is important to determine the correlation between variables in order to know if and how closely changes in one variable are reflected by changes in another variable. This is done by determining the coefficient of correlation (r), which describes the strength of the relationship between variables and the direction. -1 ≤ r ≤ +1 if r= +1 or -1, there is a perfect correlation if r= 0 there is no correlation between the variables. a value closer to + or - 1 demonstrates a strong correlation, while a value closer to 0 demonstrates a weak correlation. a + value demonstrates that when one variable increases the other variable increases, while a - value demonstrates that when one variable increases the other variable decreases. However, it is very important to understand that correlation is not the same as relationship. Consider the two variables, x and y such that y = x2 where x lies between -a and +a. There is a clear and well-defined relationship between x and y, but the correlation coefficient r is 0. This is true of any pair of variables whose graph is symmetric about one axis. Conversely, a high correlation coefficient does not mean a strong relationship - at least, not a strong causal relationship. There is pretty strong correlation between my age and [the log of] the number of television sets in the world. That is not because TV makes me grow old nor that my ageing produces TVs. The reason is that both variables are related to the passage of time.
Explain how you can determine the type of correlation for a set of data pairs by examining the data in a table without drawing a scatter plot?
"If y tends to increase as x increases, then the data have a positive correlation. If y tends to decrease as x increases, then the data have a negative correlation. If the points show no correlation, then the data have approximately no correlation."
What type of correlation on a graph would there be for the color of a persons hair and their weight?
There would be no definite correlation. It would just be a random correlation that would be all over the graph because there is no trend in hair color and weight. Your weight doesn't determine your hair color.
Is there a correlation between webinar and reduced car pollution?
I don't know if there is a direct correlation but if people are using a webinar instead of traveling to a lecture hall, it could theoretically reduce car pollution levels. Some studies would need to be conducted to determine the exact correlation of this.
What type of research could allow you to determine whether students' grades accurately predict later income?
Correlation
In psychology what is a correlational study used to determine?
A correlation study is one that determines the pattern between two objects or ideas. The study between alcohol consumption and passing college grades is a correlation study for example.
Does shoe size determine reading level?
It is very unlikely that there's a correlation between foot size and literacy comprehension.
What are the possible ranges of correlation coefficients?
The possible range of correlation coefficients depends on the type of correlation being measured. Here are the types for the most common correlation coefficients: Pearson Correlation Coefficient (r) Spearman's Rank Correlation Coefficient (ρ) Kendall's Rank Correlation Coefficient (τ) All of these correlation coefficients ranges from -1 to +1. In all the three cases, -1 represents negative correlation, 0 represents no correlation, and +1 represents positive correlation. It's important to note that correlation coefficients only measure the strength and direction of a linear relationship between variables. They do not capture non-linear relationships or establish causation. For better understanding of correlation analysis, you can get professional help from online platforms like SPSS-Tutor, Silverlake Consult, etc.
Auto correlation and cross correlation?
Auto correlation is the correlation of one signal with itself. Cross correlation is the correlation of one signal with a different signal.
How do astronomers determine the surface temperatures of the stars?
By their color, primarily. There is a very strong correlation between the stars color and it's temperature.
