QUESTION IMAGE
Question
question 10 of 10
what is the exponential regression equation that fits these data?
| x | y |
|---|---|
| -3 | 0.075 |
| -2 | 0.25 |
| -1 | 0.70 |
| 0 | 3 |
| 1 | 8 |
| 2 | 20 |
| 3 | 60 |
| 4 | 160 |
a. $y=2.01 \cdot 3.80^{x}$
b. $y=2.26 \cdot 3.02^{x}$
c. $y=3.02 \cdot 2.26^{x}$
d. $y=4.90x^{2}+14.44x - 4.69$
Step1: Recall exponential form
Exponential regression has the form $y = ab^x$, where when $x=0$, $y=a$.
Step2: Find a using x=0
From the table, when $x=0$, $y=3$. So $a \approx 3$.
Step3: Test x=1 for best b
For $x=1$, $y=8$. Using $a \approx 3$, solve $8 = 3b^1$, so $b \approx \frac{8}{3} \approx 2.67$. Now test options:
- Option A: $2.01 \cdot 3.80^1 = 7.638$
- Option B: $2.26 \cdot 3.02^1 \approx 6.825$
- Option C: $3.02 \cdot 2.26^1 \approx 6.825$
Wait, test x=2: $y=20$
- Option A: $2.01 \cdot 3.80^2 = 2.01 \cdot 14.44 = 29.0244$
- Option B: $2.26 \cdot 3.02^2 \approx 2.26 \cdot 9.1204 \approx 20.61$
- Option C: $3.02 \cdot 2.26^2 \approx 3.02 \cdot 5.1076 \approx 15.42$
Test x=3: $y=60$
- Option B: $2.26 \cdot 3.02^3 \approx 2.26 \cdot 27.5436 \approx 62.25$
- Option A: $2.01 \cdot 3.80^3 = 2.01 \cdot 54.872 = 110.29$
- Option C: $3.02 \cdot 2.26^3 \approx 3.02 \cdot 11.543 \approx 34.86$
Test x=-1: $y=0.70$
- Option B: $2.26 \cdot 3.02^{-1} \approx 2.26 \cdot 0.331 \approx 0.748$
- Option A: $2.01 \cdot 3.80^{-1} \approx 2.01 \cdot 0.263 \approx 0.529$
- Option C: $3.02 \cdot 2.26^{-1} \approx 3.02 \cdot 0.442 \approx 1.335$
Option B's values are closest to the table data, and D is quadratic, not exponential.
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B. $y=2.26 \cdot 3.02^{x}$