For two variables that are inversely related, if one variable is doubled, the other variable will decrease to half of its original value. This is because the product of the two variables remains constant when they are inversely related. Therefore, doubling one variable results in a proportional decrease in the other variable to maintain that constant relationship.
If the variables are inversely related, doubling one will half the other.
The steps are to find the y-axis (dependent variable) and the x-axis (independent variable), then make a scale for your variables on the graph.
Usually the expression is employed in the context of the relationship between a dependent variable and another variable. The latter may or may not be independent: often it is time but that is not necessary. In some cases there is some indication that that there is a linear relationship between the two variables and that relationship is referred to as a trend.Note that a trend is not the same as causation. There may appear to be a strong linear trend between two variables but the variables may not be directly related at all: they may both be related to a third variable. Also, the absence of linear trends does not imply that the variables are unrelated: there may be non-linear relationships.
When one is doubled, the other is doubled.
You maybe thinking of straight line equations or simultaneous equations
The second is halved.
If the variables are inversely related, doubling one will half the other.
A negative correlation means that two variables are inversely related. This means that as one variable increases the other decreases. When a negative correlation is plotted, it forms a downward slanting line.
if two variables are positively related,it means that the two variables change in the same direction.that is,if the value of one of the variables increases,the value of the other variable too will increase.for example,if employment as an economic variable increases in a country,and price of goods too increases then we can say that these two variables(employment and price) are positively related
Independent variables can take values within a given boundary. The dependent variable will take values based on the independent variable and a given relationship at which the former can take its values.
a DEPENDENT variable is one of the two variables in a relationship.its value depends on the other variable witch is called the independent variable.the INDEPENDENT variable is one of the two variables in a relationship . its value determines the value of the other variable called the independent variable.
Independent variables can take values within a given boundary. The dependent variable will take values based on the independent variable and a given relationship at which the former can take its values.
The ideal gas law:PV = nRT Any two variables on the SAME SIDE of the equation are inversely proportional. Note that "R" is a constant; so the following are inversely proportional: P and V n and T (And any two variables on OPPOSITE sides are directly proportional.)
An example of two variables that are inversely related is the price of a product and the quantity demanded by consumers. As the price of a product increases, the quantity demanded by consumers typically decreases, and vice versa. This relationship is described by the law of demand in economics.
Algebraic expressions may contain variables but they are not normally called variables. In fact, if they are related to identities, they need not be variable. For example, (4x2 + 8xy + 4y2)/(x + y)2 is an algebraic expression, but it is not a variable: it equals 4.
The variables are said to be INVERSELY related.
When an experiment shows that two variables are closely related, it suggests that changes in one variable are associated with predictable changes in the other variable. This can indicate a causal relationship between the variables, where one variable directly influences the other. However, it is important to consider other factors and conduct further research to establish a robust understanding of the relationship.