the more you drink the taller you get.
All heroin addicts drank milk as children. Direct correlation: The more snow, the more mud. Indirect correlation: The more leaves fall from the trees in fall the less the temperature
No. The strongest correlation coefficient is +1 (positive correlation) and -1 (negative correlation).
percents are an exampl of cooking because you need 40% of flour to cook cake, etc.
The stronger correlation will be the one whose absolute value is closest to one. For example, r = -.78 is stronger than r=.65, because: |r| = |-.78| = .78 > |r| = |.65| = .65
No, The correlation can not be over 1. An example of a strong correlation would be .99
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.
negative correlation
Positive Correlation- Age - Amount of medical conditions Negative Correlation- Television Watching- Grades No Correlation- Height of a person- Number of shoes they own Hope this was helpful!
NO. correlation just (implies) a relationship ... for example, both may be caused by the same thing.
An undefined correlation is one in which the data would not plot with points making a vertical line.
Demand and quantity sold is an example of positive correlation. As the number of people in demand of a product increases, the quantity sold of that product also increases.
This would be an example of a negative correlation, where as one variable (air temperature) increases, the other variable (activity of test animals) decreases.
the more you drink the taller you get.
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.
There would be a negative correlation in the classroom, of a student's grades, with the number of days absent from class.
All heroin addicts drank milk as children. Direct correlation: The more snow, the more mud. Indirect correlation: The more leaves fall from the trees in fall the less the temperature