# Question 6 of 10

## 2 Points

Which regression equation best fits these data?

$
\begin{array}{cccc}
x & y \
-4 & 8 \
-3 & 12 \
-2 & 14 \
-1 & 16 \
1 & 15 \
2 & 12 \
3 & 9 \
4 & 5
\end{array}
$

- A. $y = 0.58x^2 + 0.43x + 15.75$
- B. $y = -0.58x^2 - 0.43x + 15.75$
- C. $y = 10.72 \cdot 0.95^2$
- D. $y = -0.43x + 11.34$

Question

# Question 6 of 10

## 2 Points

Which regression equation best fits these data?

$
\begin{array}{cccc}
x & y \
-4 & 8 \
-3 & 12 \
-2 & 14 \
-1 & 16 \
1 & 15 \
2 & 12 \
3 & 9 \
4 & 5
\end{array}
$

- A. $y = 0.58x^2 + 0.43x + 15.75$
- B. $y = -0.58x^2 - 0.43x + 15.75$
- C. $y = 10.72 \cdot 0.95^2$
- D. $y = -0.43x + 11.34$

StudyXY · Accepted Answer

: Identify the type of regression equation needed. : Calculate the sum of squares of residuals (SSR) for both quadratic and exponential models to compare their fits. : Quadratic Model: : Exponential Model: : Calculate the SSR for both models. : Compare the SSR values for both models. : Based on the comparison, choose the best-fitting regression equation. To determine which one is the best fit, follow steps 3-6.

Q
QuestionAnatomy and Physiology

Answer

Full Solution Locked

Step 1
: Identify the type of regression equation needed.

Step 2
: Calculate the sum of squares of residuals (SSR) for both quadratic and exponential models to compare their fits.

Final Answer

Need Help with Homework?

Related Questions

Company

Explore

Study Tools

QQuestionAnatomy and Physiology

AnswerHelpful