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Inverse proportion

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Q: What is relationship between two sets of data as one set of values decreases as the other set increases?
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What is the relationship between two data sets when one data set of data values increases while the other decreases?

There is an inverse relationship between the datasets.


When there is no relationship between two data sets when one set of data values increases while the other decreases?

negative correlation


What is a correlation where one set of data values increases as the other decreases?

one set of data values increases as the other decreases


What are the relationship between values goals and standard?

Relationship between values goals and standard


What is the meaning of correlation coefficient?

The correlation coefficient takes on values ranging between +1 and -1. The following points are the accepted guidelines for interpreting the correlation coefficient:0 indicates no linear relationship.+1 indicates a perfect positive linear relationship: as one variable increases in its values, the other variable also increases in its values via an exact linear rule.-1 indicates a perfect negative linear relationship: as one variable increases in its values, the other variable decreases in its values via an exact linear rule.Values between 0 and 0.3 (0 and -0.3) indicate a weak positive (negative) linear relationship via a shaky linear rule.Values between 0.3 and 0.7 (0.3 and -0.7) indicate a moderate positive (negative) linear relationship via a fuzzy-firm linear rule.Values between 0.7 and 1.0 (-0.7 and -1.0) indicate a strong positive (negative) linear relationship via a firm linear rule.The value of r squared is typically taken as "the percent of variation in one variable explained by the other variable," or "the percent of variation shared between the two variables."Linearity Assumption. The correlation coefficient requires that the underlying relationship between the two variables under consideration is linear. If the relationship is known to be linear, or the observed pattern between the two variables appears to be linear, then the correlation coefficient provides a reliable measure of the strength of the linear relationship. If the relationship is known to be nonlinear, or the observed pattern appears to be nonlinear, then the correlation coefficient is not useful, or at least questionable.


In an inverse relationship how do the values of y change as the values of x increase?

Y would decrease in value as X increases in value.


In an inverse relationship how do the values of y change as the values of x is decreased?

The value of y increases, such that x*y remains a constant.


What are the 3 different kinds of proportion?

*direct proportion - As one values increases, so does the other. *indirect proportion - As one values increases, the other decreases. *partitive proportion - involves identifying parts of a whole based on a given ratio of these parts.


How do the values for the P X V product compare to each other?

If the value of P increases then the value of V decreases and vice versa.


If p q and q r what is the relationship between the values p and r?

Ifp < q and q < r, what is the relationship between the values p and r? ________________p


What is the relationshp between the values t and s plotted on the number line below?

the relationship between the values t and s


When two values change in opposite directions so that if one increases and the other decreases by the same amount they are said to be inversely proportional to each other?

inversely.