The accompanying table shows eleven altitudes (in thousands of feet) and the speeds of sound (in feet per second) at these altitudes. Co Click here to view the data table. Click here to view the table of critical values for the Pearson correlation coefficient, Altitude, x Speed of sound, y StatCrunch 1115.8 (b) Calculate the sample correlation coefficient r. 1097 9 10 1075.9 15 1056.2 (Round to three decimal places as needed.) 20 1036.9 (c) Describe the type of correlation, if any, and interpret the correlation in the context of the data. 1014.7 25 30 996.5 There is linear correlation. 35 969.5 40 967.9 Interpret the correlation. Choose the correct answer below. 967.9 45 50 967.9 O A. As altitude increases, speeds of sound tend to decrease. O B. Based on the correlation, there does not appear to be a linear relationship between altitude and speed of sound. C. Higher altitudes cause increases in speeds of sound. Print Done O D. As altitude increases, speeds of sound tend to increase. O E. Higher altitudes cause decreases in speeds of sound. O F. Based on the correlation, there does not appear to be any relationship between altitude and speed of sound. (d) Use the table of critical values for the Pearson correlation coefficient to make a conclusion about the correlation coefficient. Let a = 0.01. V between altitude and speed of sound sufficient evidence at the 1% level of significance to conclude that The critical value is Therefore, there (Round to three decimal nlaces as needed)

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The accompanying table shows eleven altitudes (in thousands of feet) and the speeds of sound (in feet per second) at these altitudes. 

**Table:**
| Altitude, x (thousands of feet) | Speed of sound, y (feet/second) |
|---------------------------------|---------------------------------|
| 0                               | 1115.8                          |
| 5                               | 1097.9                          |
| 10                              | 1075.9                          |
| 15                              | 1056.2                          |
| 20                              | 1036.8                          |
| 25                              | 1014.7                          |
| 30                              | 996.5                           |
| 35                              | 969.5                           |
| 40                              | 967.9                           |
| 45                              | 967.9                           |
| 50                              | 967.9                           |

**Tasks and Questions:**

(b) **Calculate the sample correlation coefficient \( r \):**
- \( r = \) ____ (Round to three decimal places as needed.)

(c) **Describe the type of correlation, if any, and interpret the correlation in the context of the data:**
- There is a ____ linear correlation.

**Interpret the correlation by choosing the correct answer:**
- A. As altitude increases, speeds of sound tend to decrease.
- B. Based on the correlation, there does not appear to be a linear relationship between altitude and speed of sound.
- C. Higher altitudes cause increases in speeds of sound.
- D. As altitude increases, speeds of sound tend to increase.
- E. Higher altitudes cause decreases in speeds of sound.
- F. Based on the correlation, there does not appear to be any relationship between altitude and speed of sound.

(d) **Use the table of critical values for the Pearson correlation coefficient to make a conclusion about the correlation coefficient. Let \( \alpha = 0.01 \):**
- The critical value is ____. Therefore, there ____ sufficient evidence at the 1% level of significance to conclude that ____ between altitude and speed of sound. (Round to three decimal places as needed.)
Transcribed Image Text:The accompanying table shows eleven altitudes (in thousands of feet) and the speeds of sound (in feet per second) at these altitudes. **Table:** | Altitude, x (thousands of feet) | Speed of sound, y (feet/second) | |---------------------------------|---------------------------------| | 0 | 1115.8 | | 5 | 1097.9 | | 10 | 1075.9 | | 15 | 1056.2 | | 20 | 1036.8 | | 25 | 1014.7 | | 30 | 996.5 | | 35 | 969.5 | | 40 | 967.9 | | 45 | 967.9 | | 50 | 967.9 | **Tasks and Questions:** (b) **Calculate the sample correlation coefficient \( r \):** - \( r = \) ____ (Round to three decimal places as needed.) (c) **Describe the type of correlation, if any, and interpret the correlation in the context of the data:** - There is a ____ linear correlation. **Interpret the correlation by choosing the correct answer:** - A. As altitude increases, speeds of sound tend to decrease. - B. Based on the correlation, there does not appear to be a linear relationship between altitude and speed of sound. - C. Higher altitudes cause increases in speeds of sound. - D. As altitude increases, speeds of sound tend to increase. - E. Higher altitudes cause decreases in speeds of sound. - F. Based on the correlation, there does not appear to be any relationship between altitude and speed of sound. (d) **Use the table of critical values for the Pearson correlation coefficient to make a conclusion about the correlation coefficient. Let \( \alpha = 0.01 \):** - The critical value is ____. Therefore, there ____ sufficient evidence at the 1% level of significance to conclude that ____ between altitude and speed of sound. (Round to three decimal places as needed.)
### Altitude and Speed of Sound Analysis

#### Data Overview:
The table presents data on eleven altitudes (in thousands of feet) and their corresponding speeds of sound (in feet per second).

#### Altitude and Speed of Sound Data:
- **Altitude (x):**
  - 0, 5, 10, 15, 20, 25, 30, 35, 40, 45, 50

- **Speed of Sound (y):**
  - 1115.8, 1097.9, 1075.9, 1057.6, 1036.9, 1014.7, 996.5, 979.2, 967.9, 967.9, 967.9

#### Analysis Instructions:

1. **Calculate the Sample Correlation Coefficient (r):**
   - Use the provided formula or statistical software.
   - Round your answer to three decimal places.

2. **Determine the Type of Correlation:**
   - Analyze the correlation between altitude and speed of sound:
     - **Options:**
       - There is positive linear correlation.
       - There is negative linear correlation.
       - There is no linear correlation.

3. **Interpret the Correlation:**
   - Choose the correct interpretation:
     - A. As altitude increases, speeds of sound tend to decrease.
     - B. No apparent linear relationship exists between altitude and speed of sound.
     - C. Higher altitudes cause increases in speeds of sound.
     - D. As altitude increases, speeds of sound tend to increase.
     - E. Higher altitudes cause decreases in speeds of sound.
     - F. No relationship appears between altitude and speed of sound.

4. **Critical Value and Conclusion:**
   - Use the table of critical values for Pearson’s correlation coefficient.
   - Compare the calculated correlation coefficient with the critical value.
   - State whether there is **sufficient evidence** at the 1% level of significance to conclude the presence of a correlation.
   - Round answers to three decimal places as needed.

This exercise involves applying statistical methods to determine if changes in altitude affect the speed of sound. Understanding this can help in areas such as aviation and acoustics.
Transcribed Image Text:### Altitude and Speed of Sound Analysis #### Data Overview: The table presents data on eleven altitudes (in thousands of feet) and their corresponding speeds of sound (in feet per second). #### Altitude and Speed of Sound Data: - **Altitude (x):** - 0, 5, 10, 15, 20, 25, 30, 35, 40, 45, 50 - **Speed of Sound (y):** - 1115.8, 1097.9, 1075.9, 1057.6, 1036.9, 1014.7, 996.5, 979.2, 967.9, 967.9, 967.9 #### Analysis Instructions: 1. **Calculate the Sample Correlation Coefficient (r):** - Use the provided formula or statistical software. - Round your answer to three decimal places. 2. **Determine the Type of Correlation:** - Analyze the correlation between altitude and speed of sound: - **Options:** - There is positive linear correlation. - There is negative linear correlation. - There is no linear correlation. 3. **Interpret the Correlation:** - Choose the correct interpretation: - A. As altitude increases, speeds of sound tend to decrease. - B. No apparent linear relationship exists between altitude and speed of sound. - C. Higher altitudes cause increases in speeds of sound. - D. As altitude increases, speeds of sound tend to increase. - E. Higher altitudes cause decreases in speeds of sound. - F. No relationship appears between altitude and speed of sound. 4. **Critical Value and Conclusion:** - Use the table of critical values for Pearson’s correlation coefficient. - Compare the calculated correlation coefficient with the critical value. - State whether there is **sufficient evidence** at the 1% level of significance to conclude the presence of a correlation. - Round answers to three decimal places as needed. This exercise involves applying statistical methods to determine if changes in altitude affect the speed of sound. Understanding this can help in areas such as aviation and acoustics.
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