Mathematics
Grade10
Easy
Question
Identify the correct graph for the equation.
y =
–2
Hint:
Graph transformation is the process by which an existing graph, or graphed equation, is modified to produce a variation of the proceeding graph.
The correct answer is: ![](data:image/png;base64,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)
Seeing the options, let’s check the point (5, 0).
If x = 5,
y =
– 2 = 0
So, (5, 0) passes through the graph. That means it can be either graph A or graph C.
It is graph A as it is a reciprocal function and it has the shape of a hyperbola.
Hence, the correct option is A.
We can substitute the points lying on the graph to determine which is the graph of the given equation.