Does the higher cost of tuition translate into higher-paying jobs? The table lists 10 colleges based on mid-career salary and the associated yearly tuition costs. (Comma separated lists of the data are also provided below the table to ease in copying the data to R.) Yearly Tuition (in thousands of dollars) (x) 2:18, 25, 14, 25, 8, 12, 7, 13, 16, 23 y: 93, 125, 80, 129, 70, 82, 73, 128, 69, 143 1. Find the best fit line for the data. y I 18 25 thousand 12 14 25 8 12 7 13 16 23 Mid-career Salary (in thousands of dollars) (y) 2. Graph the scatter plot of the data together with the best fit line using R. (This portion of the problem is not graded.) 3. Predict the mid-career salary of a student attending a college with an annual tuition of $19 thousand. 93 125 80 129 70 82 73 128 69 143

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**Exploring the Relationship Between Tuition Costs and Mid-Career Salaries**

Does the higher cost of tuition translate into higher-paying jobs? The table provided lists 10 colleges based on mid-career salary and the associated yearly tuition costs.

| Yearly Tuition (in thousands of dollars) (x) | Mid-career Salary (in thousands of dollars) (y) |
|----------------------------------------------|------------------------------------------------|
| 18                                           | 93                                             |
| 25                                           | 125                                            |
| 14                                           | 80                                             |
| 25                                           | 129                                            |
| 8                                            | 70                                             |
| 12                                           | 82                                             |
| 7                                            | 73                                             |
| 13                                           | 128                                            |
| 16                                           | 69                                             |
| 23                                           | 143                                            |

- **x (Yearly Tuition):** 18, 25, 14, 25, 8, 12, 7, 13, 16, 23
- **y (Mid-career Salary):** 93, 125, 80, 129, 70, 82, 73, 128, 69, 143

1. **Find the best fit line for the data.**

   \( y = \_\_ + \_\_x \)

2. **Graph the scatter plot of the data together with the best fit line using R.** (This portion of the problem is not graded.)

3. **Predict the mid-career salary of a student attending a college with an annual tuition of $19,000.**

   \( \$ \_\_ \text{ thousand} \)

**Instructions:** Complete the table analysis and provide predictions based on the given data for a comprehensive understanding of how tuition may impact future earnings.
Transcribed Image Text:**Exploring the Relationship Between Tuition Costs and Mid-Career Salaries** Does the higher cost of tuition translate into higher-paying jobs? The table provided lists 10 colleges based on mid-career salary and the associated yearly tuition costs. | Yearly Tuition (in thousands of dollars) (x) | Mid-career Salary (in thousands of dollars) (y) | |----------------------------------------------|------------------------------------------------| | 18 | 93 | | 25 | 125 | | 14 | 80 | | 25 | 129 | | 8 | 70 | | 12 | 82 | | 7 | 73 | | 13 | 128 | | 16 | 69 | | 23 | 143 | - **x (Yearly Tuition):** 18, 25, 14, 25, 8, 12, 7, 13, 16, 23 - **y (Mid-career Salary):** 93, 125, 80, 129, 70, 82, 73, 128, 69, 143 1. **Find the best fit line for the data.** \( y = \_\_ + \_\_x \) 2. **Graph the scatter plot of the data together with the best fit line using R.** (This portion of the problem is not graded.) 3. **Predict the mid-career salary of a student attending a college with an annual tuition of $19,000.** \( \$ \_\_ \text{ thousand} \) **Instructions:** Complete the table analysis and provide predictions based on the given data for a comprehensive understanding of how tuition may impact future earnings.
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