Use he 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 I x 9 y 11.75 12.24 10.15 11.10 11 3 6. 12 13 4. 10 3.61 8.94 12.06 11.61 5.66 7.44 12.14 y =+x (Round to two decimal places as needed.) Create a scatterplot of the data. Choose the correct graph below. OA. OB. Oc. D. Ay 25 Ay 25- Ay 25- Ay 25- 20 20 20 20- 15 155 15 15 10 10 105 105 5- 00 000 0 Ó 5 10 15 20 25 55 5 0- 05 10 15 20 25 0- 0 5 10 15 20 25 5 10 15 20 25 Identify a characteristic of the data that is ignored by the regression line. O A. There is no trend in the data.

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Author:Amos Gilat
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Chapter1: Starting With Matlab
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The exercise involves using given data to find the equation of a regression line. Additionally, it asks to examine a scatterplot and identify a characteristic of the data that is ignored by the regression line.

### Data Table
- **x values**: 9, 11, 7, 8, 3, 6, 12, 13, 4, 5, 10
- **y values**: 11.75, 12.24, 10.15, 11.10, 3.61, 8.94, 12.06, 11.61, 5.66, 7.44, 12.14

### Regression Line Equation
The regression line is expressed as:  
\[\hat{y} = \text{[ ]} + \text{[ ]}x\]
(Round to two decimal places as needed.)

### Scatterplot Options
Four graphs labeled A, B, C, and D are shown, displaying different scatterplots.

- **Graph A**: Displays a linear trend of data points.
- **Graph B**: Shows scattered data points without a clear linear pattern.
- **Graph C**: Displays a curved pattern, suggesting a non-linear trend.
- **Graph D**: Shows an upward curving pattern.

### Question
Identify a characteristic of the data that is ignored by the regression line.

- **Option A**: There is no trend in the data.
- **Option B**: The data has a pattern that is not a straight line.
- **Option C**: There is an influential point that strongly affects the graph of the regression line.
- **Option D**: There is no characteristic of the data that is ignored by the regression line.

**Instruction**: Click to select your answer(s).
Transcribed Image Text:The exercise involves using given data to find the equation of a regression line. Additionally, it asks to examine a scatterplot and identify a characteristic of the data that is ignored by the regression line. ### Data Table - **x values**: 9, 11, 7, 8, 3, 6, 12, 13, 4, 5, 10 - **y values**: 11.75, 12.24, 10.15, 11.10, 3.61, 8.94, 12.06, 11.61, 5.66, 7.44, 12.14 ### Regression Line Equation The regression line is expressed as: \[\hat{y} = \text{[ ]} + \text{[ ]}x\] (Round to two decimal places as needed.) ### Scatterplot Options Four graphs labeled A, B, C, and D are shown, displaying different scatterplots. - **Graph A**: Displays a linear trend of data points. - **Graph B**: Shows scattered data points without a clear linear pattern. - **Graph C**: Displays a curved pattern, suggesting a non-linear trend. - **Graph D**: Shows an upward curving pattern. ### Question Identify a characteristic of the data that is ignored by the regression line. - **Option A**: There is no trend in the data. - **Option B**: The data has a pattern that is not a straight line. - **Option C**: There is an influential point that strongly affects the graph of the regression line. - **Option D**: There is no characteristic of the data that is ignored by the regression line. **Instruction**: Click to select your answer(s).
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