Only Question C Please **Data on Lyme Disease Cases and Drowning Deaths**The table displays monthly data on the number of Lyme Disease cases and drowning deaths:| Cases of Lyme Disease | Drowning Deaths | Month ||-----------------------|-----------------|-------|| 2 | 0 | J || 2 | 1 | F || 3 | 2 | M || 4 | 1 | A || 5 | 2 | M || 15 | 9 | J || 22 | 17 | J || 13 | 5 | A || 6 | 3 | S || 5 | 3 | O || 4 | 1 | N || 1 | 0 | D |**Critical Values for Correlation Coefficient**The table to the right provides the critical values for correlation coefficients based on sample size $n$:| $n$ | Critical Value ||-------|----------------|| 3 | 0.997 || 4 | 0.950 || 5 | 0.878 || 6 | 0.811 || 7 | 0.754 || 8 | 0.707 || 9 | 0.666 || 10 | 0.632 || 11 | 0.602 || 12 | 0.576 || 13 | 0.553 || 14 | 0.532 || 15 | 0.514 || 16 | 0.497 || 17 | 0.482 || 18 | 0.468 || 19 | 0.456 || 20 | 0.444 || 21 | 0.433 || 22 | 0.423 || 23 | 0.413 || 24 | 0.404 || 25 | 0.396 || 26 | 0.388 | **Understanding the Correlation Between Lyme Disease and Drowning Deaths**Lyme disease is an inflammatory disease that leads to symptoms such as skin rash and flu-like conditions. It is transmitted via the bite of an infected deer tick. This exercise presents data reflecting the number of reported Lyme disease cases and drowning deaths in a rural county. You will work through parts (a) through (c) below:### Tasks:1. **Draw a Scatter Diagram of the Data** - Select the correct graph reflecting the relationship between Lyme disease cases and drowning deaths. Options for the scatter diagram: - **A:** Lyme Disease on the x-axis, Drownings on the y-axis - **B:** Drownings on the x-axis, Lyme Disease on the y-axis - **C:** Lyme Disease on the x-axis, Drownings on the y-axis (✓ Correct) - **D:** Drownings on the x-axis, Lyme Disease on the y-axis The correct scatter plot is option **C**, where Lyme Disease is plotted on the x-axis and Drownings on the y-axis.2. **Determine the Linear Correlation Coefficient** - The linear correlation coefficient ($ r $) quantifies the strength of the relationship between Lyme disease and drowning deaths. Result: $ r = 0.963 $ (Rounded to three decimal places)3. **Assess the Linear Relationship** - Analyze whether there is a significant linear relationship between reported cases of Lyme disease and the number of drowning deaths based on the correlation coefficient. **Tasks:** - Determine if the variables Lyme disease and drowning deaths are [positively/negatively] associated because $ r $ is [greater/less] than the critical value.### Analysis:- The variable coefficients indicate a positive association since the correlation coefficient is high (close to 1), suggesting a strong positive correlation.- The absolute value of the correlation coefficient $ r $ is likely greater than the critical value, affirming a significant linear relationship.In summary, this analysis aims to explore the correlation between Lyme disease cases and drowning incidents in a specified county, helping understand potential direct or indirect associations.

Name: Only Question C Please **Data on Lyme Disease Cases and Drowning Death
Uploaded: 2024-03-20T07:07:37.000Z
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Description: Only Question C Please **Data on Lyme Disease Cases and Drowning Deaths**The table displays monthly data on the number of Lyme Disease cases and drowning deaths:| Cases of Lyme Disease | Drowning Deaths | Month ||-----------------------|-------------

From Part (b), the linear correlation efficient is 0.963.

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(Round to three decimal places as needed.) (c) Does a linear relation exist between the number of reported cases of Lyme disease and the number of drowning deaths? The variables Lyme disease and drowning deaths are V associated because r is v and the absolute value of the correlation coefficient is than the critical value, (Round to three decimal places as needed.)

(Round to three decimal places as needed.) (c) Does a linear relation exist between the number of reported cases of Lyme disease and the number of drowning deaths? The variables Lyme disease and drowning deaths are V associated because r is v and the absolute value of the correlation coefficient is than the critical value, (Round to three decimal places as needed.)

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Only Question C Please

**Data on Lyme Disease Cases and Drowning Deaths**

The table displays monthly data on the number of Lyme Disease cases and drowning deaths:

| Cases of Lyme Disease | Drowning Deaths | Month |
|-----------------------|-----------------|-------|
| 2 | 0 | J |
| 2 | 1 | F |
| 3 | 2 | M |
| 4 | 1 | A |
| 5 | 2 | M |
| 15 | 9 | J |
| 22 | 17 | J |
| 13 | 5 | A |
| 6 | 3 | S |
| 5 | 3 | O |
| 4 | 1 | N |
| 1 | 0 | D |

**Critical Values for Correlation Coefficient**

The table to the right provides the critical values for correlation coefficients based on sample size $n$:

| $n$ | Critical Value |
|-------|----------------|
| 3 | 0.997 |
| 4 | 0.950 |
| 5 | 0.878 |
| 6 | 0.811 |
| 7 | 0.754 |
| 8 | 0.707 |
| 9 | 0.666 |
| 10 | 0.632 |
| 11 | 0.602 |
| 12 | 0.576 |
| 13 | 0.553 |
| 14 | 0.532 |
| 15 | 0.514 |
| 16 | 0.497 |
| 17 | 0.482 |
| 18 | 0.468 |
| 19 | 0.456 |
| 20 | 0.444 |
| 21 | 0.433 |
| 22 | 0.423 |
| 23 | 0.413 |
| 24 | 0.404 |
| 25 | 0.396 |
| 26 | 0.388 |

**Understanding the Correlation Between Lyme Disease and Drowning Deaths**

Lyme disease is an inflammatory disease that leads to symptoms such as skin rash and flu-like conditions. It is transmitted via the bite of an infected deer tick. This exercise presents data reflecting the number of reported Lyme disease cases and drowning deaths in a rural county. You will work through parts (a) through (c) below:

### Tasks:

1. **Draw a Scatter Diagram of the Data**
- Select the correct graph reflecting the relationship between Lyme disease cases and drowning deaths.

Options for the scatter diagram:
- **A:** Lyme Disease on the x-axis, Drownings on the y-axis
- **B:** Drownings on the x-axis, Lyme Disease on the y-axis
- **C:** Lyme Disease on the x-axis, Drownings on the y-axis (✓ Correct)
- **D:** Drownings on the x-axis, Lyme Disease on the y-axis

The correct scatter plot is option **C**, where Lyme Disease is plotted on the x-axis and Drownings on the y-axis.

2. **Determine the Linear Correlation Coefficient**
- The linear correlation coefficient ($ r $) quantifies the strength of the relationship between Lyme disease and drowning deaths.

Result: $ r = 0.963 $ (Rounded to three decimal places)

3. **Assess the Linear Relationship**
- Analyze whether there is a significant linear relationship between reported cases of Lyme disease and the number of drowning deaths based on the correlation coefficient.

**Tasks:**
- Determine if the variables Lyme disease and drowning deaths are [positively/negatively] associated because $ r $ is [greater/less] than the critical value.

### Analysis:

- The variable coefficients indicate a positive association since the correlation coefficient is high (close to 1), suggesting a strong positive correlation.
- The absolute value of the correlation coefficient $ r $ is likely greater than the critical value, affirming a significant linear relationship.

In summary, this analysis aims to explore the correlation between Lyme disease cases and drowning incidents in a specified county, helping understand potential direct or indirect associations.

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