Mathematics
Grade10
Easy
Question
Does the table of values represent an inverse variation?
![](data:image/png;base64,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)
Hint:
In mathematics, inverse variation refers to the relationships between variables expressed as y = k/x, where x and y are two variables and k is a constant. According to this statement, if the value of one item rises, the value of the other quantity falls. Here we have given the table and we have to fins whether values represent an inverse variation.
The correct answer is: Yes
In contrast to direct variation, when changes in one quantity cause changes in another immediately, in inverse variation, the first quantity changes in the opposite direction of the other. Therefore, the relationship between the first and second quantities is inverse.
If x and y are two variables, then according to the inverse variation:
y = k/x or xy = k
Here we have given the table which has certain values. In order to find inverse variation, lets multiply x and y, we get:.
xy:
1 x 60 = 60
2 x 30 = 60
3 x 20 = 60
4 x 15 = 60
5 x 12 = 60
6 x 10 = 60
So here we can see that the products remain constant. So, it is an inverse variation.
Here we understood the concept of inverse variation with an example. It is basically the mathematical relationship between two variables that can be expressed by an equation in which the product of two variables is equal to a constant. So here in this table, we can see that the products remain constant. So, it is an inverse variation.