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What is the relationship between two quantites that increase or decrease together called?
Wiki User
∙ 13y ago
If they increase or decrease exactly, then the constant of proportionality or coefficient of proportionality. If not exactly, then a correlation coefficient.
Wiki User
∙ 13y ago
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How does a direct variation look?
Two variables, x and y are said to be in direct variation with one another if they are related by an equation of the form y = cx where c (>0) is the constant of [direct] variation. In the coordinate plane, this equation gives rise to a straight line, through the origin, and with a gradient (slope) = c. What this means that both x and y are 0 together, and that every increase (or decrease) in x results in an increase (decrease) of c times that amount in y.
How do you increase 29 by 30?
Add them together which equals 59
What is the similarities between correlation analysis and regression analysis?
Correlation analysis seeks to establish whether or not two variables are correlated. That is to say, whether an increase in one is accompanied by either an increase (or decrease) in the other most of the time. It is a measure of the degree to which they change together. Regression analysis goes further and seeks to measure the extent of the change. Using statistical techniques, a regression line is fitted to the observations and this line is the best measure of how changes in one variable affect the other variable. Although the first of these variables is frequently called an independent or even explanatory variable, and the second is called a dependent variable, the existence of regression does not imply a causal relationship.
What is the average decrease of 9.66 to 6.25 6.41 to 1.45 and 4.29 to 3.66?
The differences are 3.41, 4.96 and 0.63, which when added together give 9 and an average of 3.
What is the relationship between the legs and the hypotenuse?
The two legs squared and added together = the length of the hypotenuse's length squared
The relationship between two quantites that increase or decrease together is called?
Variation in direct proportion.
What is the relationship between two quantities that increase or decrease together?
Direct variation
What is the relationship between two data sets when their data values increase or decrease together?
It is a positive relationship.
The relationship between two quantities that increase or decrease together is called what?
The two quantities are porportional.
The relationship between two quantities that increase or decrease together is called?
direct variation or positive correlation.
Can the removing of energy increase the volume of a substance because the molecules come closer together?
No. It can increase the volume in some cases, but not BECAUSE the molecules come closer together. If the molecules come closer together, the volume will DECREASE.
When two variables increase or decrease together in the same ratio they?
Are in direct proportion
What does a correlation coefficient of 0.8 mean?
It means that there is a strong positive association between changes in the two variables being studied. Positive association means that the two variables tend to increase together or decrease together. Note that there is no mention of a causal relationship between the variables.
What does a positive correlation between variables x and y imply?
It implies that an increase in x is accompanied by an increase in y. And similarly, they decrease together.
What does the value of a correlation coefficent reflects?
A correlation reflects the strength of the relationship between two variables. A correlation doesn't reflect causation, but merely that two phenomena are present at the same time. The closer the value is to 1, the stronger the relationship between two variables is. This value can be positive or negative. A negative value merely indicates that, as the values on one variable increase, the values on the second variable decrease. A positive correlation indicates that both values will increase or decrease together.
What is the implication of any correlation found between the variables?
Correlation is a measure of the degree to which two variables change together. Positive correlation means that the variables increase together and decrease together. Negative correlation means that one variable increases when the other decreases.Correlation does not imply causality.Correlation is a measure of the degree to which two variables change together. Positive correlation means that the variables increase together and decrease together. Negative correlation means that one variable increases when the other decreases.Correlation does not imply causality.Correlation is a measure of the degree to which two variables change together. Positive correlation means that the variables increase together and decrease together. Negative correlation means that one variable increases when the other decreases.Correlation does not imply causality.Correlation is a measure of the degree to which two variables change together. Positive correlation means that the variables increase together and decrease together. Negative correlation means that one variable increases when the other decreases.Correlation does not imply causality.
What does it means The strength and direction of a linear relationship between two variables?
The direction of a linear relationship is positive when the two variables increase together and decrease together. The direction is negative if an increase in one variable is accompanied by a decrease in the other. The strength of the relationship tells you, in the context of a scatter plot of the two variables, how close the observations are to the line representing the linear relationship. There are various very closely related measures: regression coefficient or product moment correlation coefficient (PMCC) are commonly used. These can take any value between -1 and +1. A value of -1 represents a perfect negative relationship, +1 represents a perfect positive relationship. A value of 0 represents no linear relationship (there may be a non-linear one, though). Values near -1 or +1 are said show a strong linear relationship, values near 0 a weak one. There is no universal rule about when a relation goes from being strong to moderate to none.
