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 =[
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.
there is none.
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.
covariance or correlation
Framework in studying psychology of religion is the basic dimension of content of it
because it is important
A positive correlation is expected between hours spent studying and the grade on a test. This means that as the number of hours studying increases, the test grades are likely to improve. However, the strength of this correlation can vary based on factors such as study techniques, prior knowledge, and test difficulty.
You can concluded that the correlation is positive.
There are three types of correlation: positive, negative, and none (no correlation).Positive Correlation: as one variable increases so does the other. Height and shoe size are an example; as one's height increases so does the shoe size.Negative Correlation: as one variable increases, the other decreases. Time spent studying and time spent on video games are negatively correlated; as the your time studying increases, time spent on video games decreases.No Correlation: there is no apparent relationship between the variables. Video game scores and shoe size appear to have no correlation; as one increases, the other has no effect. A No Correlation graph would show this.
There are three types of correlation: positive, negative, and none (no correlation).Positive Correlation: as one variable increases so does the other. Height and shoe size are an example; as one's height increases so does the shoe size.Negative Correlation: as one variable increases, the other decreases. Time spent studying and time spent on video games are negatively correlated; as the your time studying increases, time spent on video games decreases.No Correlation: there is no apparent relationship between the variables. Video game scores and shoe size appear to have no correlation; as one increases, the other has no effect. A No Correlation graph would show this.
An example of weak positive correlation would be the relationship between the amount of time spent studying for a test and the grade achieved. While there may be a slight increase in grades as study time increases, the correlation is not very strong. This means that studying more does not guarantee a significantly higher grade, but there is still a positive trend between the two variables.
Dewey Bernard Stuit has written: 'Correlation analysis as a menas of studying problems of functional relationship' -- subject- s -: Correlation - Statistics -, Education, Statistics
One would generally expect a negative correlation between the number of hours spent watching TV and the number of hours spent studying. As the time spent on TV increases, the time available for studying typically decreases, leading to less effective study time. However, the strength of this correlation may vary depending on individual habits and time management skills.
97.4 percent of men who consume ice in more than four drinks leave the bar drunk. That 97.4% is a significant positive correlation between the consumption of ice and its temporary deliterious effects on the human male physiology.
A Pearson correlation measures the strength and direction of a linear relationship between two continuous variables, ranging from -1 (perfect negative correlation) to 1 (perfect positive correlation). An example could be studying the correlation between the amount of rainfall and crop yield in agricultural research to understand how variations in rainfall affect crop productivity.
Correlation is the innovation of the subjects and activities. It is a technique which tries to establish a reciprocal relationship among the various subjects of the curriculum. History provides a rich ground for correlation with different subjects as well as correlation with different places and times. Trevelyan has very aptly remarked, "History is not a subject at all but a house in which all subjects dwell."
no