224 20- 18+ (a) Write an approximate equation of the lin xx 16+ ソ=ロ 14+ 12- X xX (b) Using your equation from part (a), predi rate for a cashier with 10 years of experienc 104 8- 2- 10 12 14 16 18 20 22 Years of experience
224 20- 18+ (a) Write an approximate equation of the lin xx 16+ ソ=ロ 14+ 12- X xX (b) Using your equation from part (a), predi rate for a cashier with 10 years of experienc 104 8- 2- 10 12 14 16 18 20 22 Years of experience
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
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![**Transcription for Educational Website**
---
**Scatter Plot Analysis**
The scatter plot shows the relationship between the number of years of experience, \( x \), and the hourly pay rate, \( y \), for 24 cashiers in California.
**Tasks**
(a) Write an approximate equation of the line of best fit for the data. The equation does not have to be exact.
(b) Using your equation from part (a), predict the hourly pay rate for a cashier with 10 years of experience.
**Note:** Graphing tools can be used to help approximate the line.
**Graph Description**
- **Axes:**
- The x-axis represents the "Years of experience."
- The y-axis represents "Pay (in dollars) per hour."
- **Data Points:**
- There are 24 data points scattered across the graph.
- **Trend:**
- There is a positive correlation between years of experience and pay rate, indicating that more years of experience correspond to higher hourly pay.
**Exercises**
(a) Write the approximate equation of the line of best fit:
\( y = \) [Input Box]
(b) Predict the hourly pay rate for a cashier with 10 years of experience using your equation:
$ [Input Box]
---
This exercise will enhance your understanding of correlating experience and pay rate through practical application of linear regression.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F3353205d-c76f-4594-bff5-a694636ecb1b%2Fe9092e1a-631b-4c1e-8309-ccf56e768034%2Fki5pj7_processed.jpeg&w=3840&q=75)
Transcribed Image Text:**Transcription for Educational Website**
---
**Scatter Plot Analysis**
The scatter plot shows the relationship between the number of years of experience, \( x \), and the hourly pay rate, \( y \), for 24 cashiers in California.
**Tasks**
(a) Write an approximate equation of the line of best fit for the data. The equation does not have to be exact.
(b) Using your equation from part (a), predict the hourly pay rate for a cashier with 10 years of experience.
**Note:** Graphing tools can be used to help approximate the line.
**Graph Description**
- **Axes:**
- The x-axis represents the "Years of experience."
- The y-axis represents "Pay (in dollars) per hour."
- **Data Points:**
- There are 24 data points scattered across the graph.
- **Trend:**
- There is a positive correlation between years of experience and pay rate, indicating that more years of experience correspond to higher hourly pay.
**Exercises**
(a) Write the approximate equation of the line of best fit:
\( y = \) [Input Box]
(b) Predict the hourly pay rate for a cashier with 10 years of experience using your equation:
$ [Input Box]
---
This exercise will enhance your understanding of correlating experience and pay rate through practical application of linear regression.
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