Second Paired Data Set 5 8 6. 10 11 13 17 19 37. Use the Second Paired Data Set. Find the equation for the least-squares regression line. A. y 0.346 x + 5.56 C. y0.746.x +3.56 B. y 0.546 x + 4.56 D. y0.946 x+2.56

MATLAB: An Introduction with Applications
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## Second Paired Data Set

| \( x \) | \( y \) |
|--------|--------|
| 5      | 8      |
| 9      | 10     |
| 11     | 13     |
| 17     | 19     |

### Problem 37

**Use the Second Paired Data Set. Find the equation for the least-squares regression line.**

Choices:
- A. \( y \approx 0.346x + 5.56 \)
- B. \( y \approx 0.546x + 4.56 \)
- C. \( y \approx 0.746x + 3.56 \)
- D. \( y \approx 0.946x + 2.56 \)

### Explanation

This table represents a paired data set where each \( x \)-value is paired with a corresponding \( y \)-value. To find the least-squares regression line, one would typically apply statistical techniques to determine which equation best describes the relationship between \( x \) and \( y \). The goal is to minimize the sum of the squared differences between the observed and predicted \( y \)-values.
Transcribed Image Text:## Second Paired Data Set | \( x \) | \( y \) | |--------|--------| | 5 | 8 | | 9 | 10 | | 11 | 13 | | 17 | 19 | ### Problem 37 **Use the Second Paired Data Set. Find the equation for the least-squares regression line.** Choices: - A. \( y \approx 0.346x + 5.56 \) - B. \( y \approx 0.546x + 4.56 \) - C. \( y \approx 0.746x + 3.56 \) - D. \( y \approx 0.946x + 2.56 \) ### Explanation This table represents a paired data set where each \( x \)-value is paired with a corresponding \( y \)-value. To find the least-squares regression line, one would typically apply statistical techniques to determine which equation best describes the relationship between \( x \) and \( y \). The goal is to minimize the sum of the squared differences between the observed and predicted \( y \)-values.
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