D. It is not appropriate to interpret the slope or the y-intercept. c) Predict the final exam score for a student who misses five class periods. (Round to two decimal places as needed.)

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Chapter1: Starting With Matlab
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**Critical Values for Correlation Coefficient**

- **n = 3**: 0.997
- **n = 4**: 0.950
- **n = 5**: 0.878
- **n = 6**: 0.811
- **n = 7**: 0.754
- **n = 8**: 0.707
- **n = 9**: 0.666
- **n = 10**: 0.632
- **n = 11**: 0.602
- **n = 12**: 0.576
- **n = 13**: 0.553
- **n = 14**: 0.532
- **n = 15**: 0.514
- **n = 16**: 0.497
- **n = 17**: 0.482
- **n = 18**: 0.468
- **n = 19**: 0.456
- **n = 20**: 0.444
- **n = 21**: 0.433
- **n = 22**: 0.423
- **n = 23**: 0.413
- **n = 24**: 0.404
- **n = 25**: 0.396
- **n = 26**: 0.388
- **n = 27**: 0.381
- **n = 28**: 0.374
- **n = 29**: 0.367
- **n = 30**: 0.361

**Data Table: Relationship Between Absences and Exam Scores**

- **No. of absences (x)**: 
  - 0, 1, 2, 3, 4, 5, 6, 7, 8, 9
- **Final exam score (y)**: 
  - 88.7, 85.7, 83.1, 80.7, 78.1, 74.3, 69.2, 70.8, 65.8, 65.8

**Explanation:**
- The left table displays
Transcribed Image Text:**Critical Values for Correlation Coefficient** - **n = 3**: 0.997 - **n = 4**: 0.950 - **n = 5**: 0.878 - **n = 6**: 0.811 - **n = 7**: 0.754 - **n = 8**: 0.707 - **n = 9**: 0.666 - **n = 10**: 0.632 - **n = 11**: 0.602 - **n = 12**: 0.576 - **n = 13**: 0.553 - **n = 14**: 0.532 - **n = 15**: 0.514 - **n = 16**: 0.497 - **n = 17**: 0.482 - **n = 18**: 0.468 - **n = 19**: 0.456 - **n = 20**: 0.444 - **n = 21**: 0.433 - **n = 22**: 0.423 - **n = 23**: 0.413 - **n = 24**: 0.404 - **n = 25**: 0.396 - **n = 26**: 0.388 - **n = 27**: 0.381 - **n = 28**: 0.374 - **n = 29**: 0.367 - **n = 30**: 0.361 **Data Table: Relationship Between Absences and Exam Scores** - **No. of absences (x)**: - 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 - **Final exam score (y)**: - 88.7, 85.7, 83.1, 80.7, 78.1, 74.3, 69.2, 70.8, 65.8, 65.8 **Explanation:** - The left table displays
The accompanying data represent the number of days absent, \(x\), and the final exam score, \(y\), for a sample of college students in a general education course at a large state university. Complete parts (a) through (c) below.

- Click the icon to view the absence count and final exam score data.
- Click the icon to view a table of critical values for the correlation coefficient.

---

**(a)** Find the least-squares regression line treating number of absences as the explanatory variable and the final exam score as the response variable.
\[ \hat{y} = -2.771x + 88.290 \]
(Round to three decimal places as needed.)

**(b)** Interpret the slope and the y-intercept, if appropriate. Choose the correct answer below and fill in any answer boxes in your choice. (Round to three decimal places as needed.)

- A: The average final exam score of students who miss no classes is \(\_\_\_\). It is not appropriate to interpret the slope.
- **B**: For every additional absence, a student’s final exam score drops \(2.771\) points, on average. The average final exam score of students who miss no classes is \(88.29\).
- C: For every additional absence, a student's final exam score drops \(\_\_\_\) points, on average. It is not appropriate to interpret the y-intercept.
- D: It is not appropriate to interpret the slope or the y-intercept.

**(c)** Predict the final exam score for a student who misses five class periods.
\[ \hat{y} = \_\_ \] (Round to two decimal places as needed.)
Transcribed Image Text:The accompanying data represent the number of days absent, \(x\), and the final exam score, \(y\), for a sample of college students in a general education course at a large state university. Complete parts (a) through (c) below. - Click the icon to view the absence count and final exam score data. - Click the icon to view a table of critical values for the correlation coefficient. --- **(a)** Find the least-squares regression line treating number of absences as the explanatory variable and the final exam score as the response variable. \[ \hat{y} = -2.771x + 88.290 \] (Round to three decimal places as needed.) **(b)** Interpret the slope and the y-intercept, if appropriate. Choose the correct answer below and fill in any answer boxes in your choice. (Round to three decimal places as needed.) - A: The average final exam score of students who miss no classes is \(\_\_\_\). It is not appropriate to interpret the slope. - **B**: For every additional absence, a student’s final exam score drops \(2.771\) points, on average. The average final exam score of students who miss no classes is \(88.29\). - C: For every additional absence, a student's final exam score drops \(\_\_\_\) points, on average. It is not appropriate to interpret the y-intercept. - D: It is not appropriate to interpret the slope or the y-intercept. **(c)** Predict the final exam score for a student who misses five class periods. \[ \hat{y} = \_\_ \] (Round to two decimal places as needed.)
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