5.2 7) Use the "Beach Visitors" scatterplot to answer the questions that follow. ) Identify the explanatory and response variables. 600 525 450 375 300 225 150 75 b) Estimate the correlation coefficient for the graph. Visitors Beach Visitors 0 80 84 88 92 96 Average Daily Temperature (°F)
5.2 7) Use the "Beach Visitors" scatterplot to answer the questions that follow. ) Identify the explanatory and response variables. 600 525 450 375 300 225 150 75 b) Estimate the correlation coefficient for the graph. Visitors Beach Visitors 0 80 84 88 92 96 Average Daily Temperature (°F)
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Transcribed Image Text:### 6.2
#### 7) Use the "Beach Visitors" scatterplot to answer the questions that follow:
**a) Identify the explanatory and response variables.**
**b) Estimate the correlation coefficient for the graph.**
**c) Describe what the scatterplot shows. (remember to describe the form, direction, strength, and any outliers)**
---
#### Scatterplot Explanation:
**Title:** Beach Visitors
- **X-axis (Horizontal):** Average Daily Temperature (°F), ranging from 80°F to 96°F.
- **Y-axis (Vertical):** Number of Visitors, ranging from 75 to 600.
**Description of the Scatterplot:**
The scatterplot displays a positive relationship between the Average Daily Temperature (°F) and the number of Beach Visitors. As the temperature increases, the number of visitors also increases. The points on the plot suggest a positive correlation, where higher temperatures correspond to a higher number of visitors. The data appears to be spread out in an upward trend with no significant outliers visible.
---
Note: This is a transcription of the provided material with a detailed explanation of the scatterplot contained within the image.
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