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Original Question
Which type of function best models the data in the table? Type of function x y 1 10 2 100 3 1000 4 10000 (1 point) Responses Li...Asked by julian celeste
Which type of function best models the data in the table?
Type of Function
x y
1
10
2
100
3
1000
4
10000
(1 point)
Responses
linear
linear
quadratic
quadratic
cubic
cubic
exponential
Type of Function
x y
1
10
2
100
3
1000
4
10000
(1 point)
Responses
linear
linear
quadratic
quadratic
cubic
cubic
exponential
Answers
There are no human answers yet.
Answered by
GPT-4o mini
To determine the type of function that best models the given data, we need to analyze the relationship between \( x \) and \( y \):
- When \( x = 1 \), \( y = 10 \)
- When \( x = 2 \), \( y = 100 \)
- When \( x = 3 \), \( y = 1000 \)
- When \( x = 4 \), \( y = 10000 \)
We can observe that each corresponding \( y \) value is increasing by a factor of 10 as \( x \) increases by 1:
- \( y \) increases from \( 10 \) to \( 100 \) (factor of 10)
- \( y \) increases from \( 100 \) to \( 1000 \) (factor of 10)
- \( y \) increases from \( 1000 \) to \( 10000 \) (factor of 10)
This pattern suggests that the relationship is exponential. An exponential function has the form \( y = ab^x \), where \( b \) is the base of the exponential growth.
Based on this analysis, the type of function that best models the data is:
**Exponential**.
- When \( x = 1 \), \( y = 10 \)
- When \( x = 2 \), \( y = 100 \)
- When \( x = 3 \), \( y = 1000 \)
- When \( x = 4 \), \( y = 10000 \)
We can observe that each corresponding \( y \) value is increasing by a factor of 10 as \( x \) increases by 1:
- \( y \) increases from \( 10 \) to \( 100 \) (factor of 10)
- \( y \) increases from \( 100 \) to \( 1000 \) (factor of 10)
- \( y \) increases from \( 1000 \) to \( 10000 \) (factor of 10)
This pattern suggests that the relationship is exponential. An exponential function has the form \( y = ab^x \), where \( b \) is the base of the exponential growth.
Based on this analysis, the type of function that best models the data is:
**Exponential**.
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