Use the given data to find the equation of the regression line. Examine the scatterplot and identify a characteristic of the data that is ignored by the regression line. X 11 7 12 14 7 13 10 13.32 6.78 7.89 8.93 7 5 y 7.59 6.64 4 13 5.44 8.05 5.83 6.3 5.94 OA. B. O C. O D. Q 25- Q 25- Q 25- 25 205 20 20 205 15: Q 15: Q 153 153 10 10 G 105 10 Do you 5 Tanken 0%0.0 G 5 5 5 0 0- 0 0 5 10 15 20 25 0- 0 5 10 15 20 25 0 5 10 15 20 25 0 5 10 15 20 25 Find the equation of the regression line. ŷ=0+0x (Round the y-intercept two decimal places as needed. Round the slope to three decimal places as needed.) Ay Av Aу Aу
Use the given data to find the equation of the regression line. Examine the scatterplot and identify a characteristic of the data that is ignored by the regression line. X 11 7 12 14 7 13 10 13.32 6.78 7.89 8.93 7 5 y 7.59 6.64 4 13 5.44 8.05 5.83 6.3 5.94 OA. B. O C. O D. Q 25- Q 25- Q 25- 25 205 20 20 205 15: Q 15: Q 153 153 10 10 G 105 10 Do you 5 Tanken 0%0.0 G 5 5 5 0 0- 0 0 5 10 15 20 25 0- 0 5 10 15 20 25 0 5 10 15 20 25 0 5 10 15 20 25 Find the equation of the regression line. ŷ=0+0x (Round the y-intercept two decimal places as needed. Round the slope to three decimal places as needed.) Ay Av Aу Aу
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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![### Understanding Linear Regression and Data Patterns
**Objective:**
Use the given data to find the equation of the regression line. Examine the scatterplot and identify a characteristic of the data that is ignored by the regression line.
#### Data Table:
| x | 11 | 7 | 13 | 10 | 12 | 14 | 7 | 4 | 13 | 7 | 5 |
|----|-----|-----|-----|-----|-----|-----|-----|-----|-----|-----|-----|
| y | 7.59 | 6.64 | 13.32 | 6.78 | 7.89 | 8.93 | 5.83 | 5.44 | 8.05 | 6.3 | 5.94 |
#### Scatterplot Analysis:
There are four scatterplots labeled A through D:
- **Scatterplot A:** Features data points that appear to cluster and vary consistently along both axes.
- **Scatterplot B:** Shows a non-linear pattern, indicating that the relationship between \( x \) and \( y \) may not be adequately modeled by a straight line.
- **Scatterplot C:** Contains a potential outlier that may strongly affect the regression line.
- **Scatterplot D:** Similar to Scatterplot A, this plot shows a distribution of data that can be interpreted linearly but is less consistent than Scatterplot B.
#### Steps to Find the Regression Line:
1. **Equation Format:**
\[
\hat{y} = \boxed{\text{(Intercept)}} + \boxed{\text{(Slope)}} x
\]
2. **Round-off Instructions:**
- Round off the \( y \)-intercept to two decimal places.
- Round off the slope to three decimal places.
3. **Answer Choices for Characteristics Ignored by the Regression Line:**
- **A.** There is no characteristic of the data that is ignored by the regression line.
- **B.** The data has a pattern that is not a straight line.
- **C.** There is an influential point that strongly affects the graph of the regression line.
- **D.** The data has a pattern that is not consistent.
#### Identification:
Based on analysis, **Option B** is selected, indicating that the data has a pattern that is](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F96fb4f59-e2d0-4223-b88e-b1f942117eac%2Fe843c767-a72c-4012-8c92-3a8d49df3922%2F9mb0kpp_processed.jpeg&w=3840&q=75)
Transcribed Image Text:### Understanding Linear Regression and Data Patterns
**Objective:**
Use the given data to find the equation of the regression line. Examine the scatterplot and identify a characteristic of the data that is ignored by the regression line.
#### Data Table:
| x | 11 | 7 | 13 | 10 | 12 | 14 | 7 | 4 | 13 | 7 | 5 |
|----|-----|-----|-----|-----|-----|-----|-----|-----|-----|-----|-----|
| y | 7.59 | 6.64 | 13.32 | 6.78 | 7.89 | 8.93 | 5.83 | 5.44 | 8.05 | 6.3 | 5.94 |
#### Scatterplot Analysis:
There are four scatterplots labeled A through D:
- **Scatterplot A:** Features data points that appear to cluster and vary consistently along both axes.
- **Scatterplot B:** Shows a non-linear pattern, indicating that the relationship between \( x \) and \( y \) may not be adequately modeled by a straight line.
- **Scatterplot C:** Contains a potential outlier that may strongly affect the regression line.
- **Scatterplot D:** Similar to Scatterplot A, this plot shows a distribution of data that can be interpreted linearly but is less consistent than Scatterplot B.
#### Steps to Find the Regression Line:
1. **Equation Format:**
\[
\hat{y} = \boxed{\text{(Intercept)}} + \boxed{\text{(Slope)}} x
\]
2. **Round-off Instructions:**
- Round off the \( y \)-intercept to two decimal places.
- Round off the slope to three decimal places.
3. **Answer Choices for Characteristics Ignored by the Regression Line:**
- **A.** There is no characteristic of the data that is ignored by the regression line.
- **B.** The data has a pattern that is not a straight line.
- **C.** There is an influential point that strongly affects the graph of the regression line.
- **D.** The data has a pattern that is not consistent.
#### Identification:
Based on analysis, **Option B** is selected, indicating that the data has a pattern that is
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