Linear Regression and Correlation. y 1 -7.13 -8.76 -9.79 4 -8.12 -12.85 Compute the equation of the linear regression line in the form y = mx + b, where m is the slope and b is the intercept.

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## Linear Regression and Correlation

### Data Table

| x | y    |
|---|------|
| 1 | -7.13 |
| 2 | -8.76 |
| 3 | -9.79 |
| 4 | -8.12 |
| 5 | -12.85 |

### Instructions

1. **Compute the Linear Regression Line**
   - Use the form \( y = mx + b \), where \( m \) is the slope, and \( b \) is the intercept.
   - Use at least 3 decimal places. Round if necessary.

   \[
   y = \_\_\_\_\_x + \_\_\_\_\_
   \]

2. **Compute the Correlation Coefficient**
   - For this data set, use at least 3 decimal places. Round if necessary.

   \[
   r = \_\_\_\_\_
   \]

3. **Calculate the P-value**
   - Use at least 3 decimal places. Round if necessary.

   \[
   P\text{-value} = \_\_\_\_\_
   \]

4. **Determine Significance at \( \alpha = 0.01 \)**
   - **Is the correlation significant?**
     - [ ] No
     - [ ] Yes, significant correlation

Please fill the blanks with the computed values and select the correct significance option.
Transcribed Image Text:## Linear Regression and Correlation ### Data Table | x | y | |---|------| | 1 | -7.13 | | 2 | -8.76 | | 3 | -9.79 | | 4 | -8.12 | | 5 | -12.85 | ### Instructions 1. **Compute the Linear Regression Line** - Use the form \( y = mx + b \), where \( m \) is the slope, and \( b \) is the intercept. - Use at least 3 decimal places. Round if necessary. \[ y = \_\_\_\_\_x + \_\_\_\_\_ \] 2. **Compute the Correlation Coefficient** - For this data set, use at least 3 decimal places. Round if necessary. \[ r = \_\_\_\_\_ \] 3. **Calculate the P-value** - Use at least 3 decimal places. Round if necessary. \[ P\text{-value} = \_\_\_\_\_ \] 4. **Determine Significance at \( \alpha = 0.01 \)** - **Is the correlation significant?** - [ ] No - [ ] Yes, significant correlation Please fill the blanks with the computed values and select the correct significance option.
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