$x$
$f ( x )$

-2
15

-1
10

0
5

1
0

2
-5

3
-10






Which is a $y$-intercept of the continuous function in the table?

A$(5,0)$
B$(0,1)$
C$(0,5)$
D$(1,0)$

Verified Answer :

  • The y-intercept of a function occurs where the x-coordinate is \(0\).
  • Using the provided table, we locate the entry where \(x=0\) and find that \(f(0)=5\).
  • This means the graph of the function crosses the y-axis at the point \((0,5)\).
  • Therefore, the y-intercept is \((0, 5)\).
  • Final Answer: \(\boxed{(0, 5)}\)

Explanation

  1. Understanding the y-intercept

The y-intercept of a function \(f(x)\) is the point where the graph of the function intersects the y-axis. This occurs when the value of the independent variable, \(x\), is zero. Thus, a y-intercept is expressed as the coordinate pair \((0, f(0))\).

  1. Finding f(0) from the table

We examine the provided table of values for the function \(f(x)\):
| \(x\) | \(f(x)\) |
| :--- | :--- |
| \(-2\) | \(15\) |
| \(-1\) | \(10\) |
| \(0\) | \(5\) |
| \(1\) | \(0\) |
| \(2\) | \(-5\) |
| \(3\) | \(-10\) |
Locating the row where \(x = 0\), we see that the corresponding value for \(f(x)\) is \(5\). Therefore, the function evaluates to \(f(0) = 5\).

  1. Identifying the y-intercept and conclusion

Since the y-intercept is the point \((0, f(0))\), and we have determined that \(f(0) = 5\), the y-intercept is \((0, 5)\). Comparing this to the given choices:

  • \((5, 0)\)
  • \((0, 1)\)
  • \((0, 5)\)
  • \((1, 0)\)

The point \((0, 5)\) is clearly the correct choice.

Examples

In real-world applications, identifying the y-intercept is crucial when analyzing initial conditions. For instance, if a company models its daily profit \(P\) as a function of time \(t\) in days, the y-intercept \((0, P(0))\) represents the profit (or loss) at the very start of the observation period (\(t=0\)). Similarly, if you are tracking the height of a plant over time, the y-intercept tells you exactly how tall the plant was when you first started measuring it. By looking at a table or graph of data, you can easily determine these starting values to make better predictions.