B? ### Analyzing Text Message DataThe accompanying table shows the number of text messages sent and received by some people in one day. Complete parts (a) through (d) below.- **Click the icon to view the table of messages sent and received.**#### a. Creating a Scatterplot- **Task:** Make a scatterplot of the data, and state the sign of the slope from the scatterplot. Use the number sent as the independent variable. Choose the correct scatterplot below.- **Scatterplot Options:** - **A:** This plot has "Messages Sent" on the x-axis and "Messages Received" on the y-axis, showing a positive trend. - **B:** This plot has "Messages Received" on the x-axis and "Messages Sent" on the y-axis, showing a negative trend. - **C:** (Selected) This plot correctly represents "Messages Sent" on the x-axis and "Messages Received" on the y-axis, illustrating a positive correlation. - **D:** This plot is similar to B, with "Messages Received" on the x-axis and "Messages Sent" on the y-axis but with reversed trend indications.- **Result:** The slope of the scatterplot is **positive.**#### b. Linear Regression Analysis- **Objective:** Use linear regression to find the equation of the best-fit line. - **Equation Format:** \[ \text{Predicted } ( ) = ( ) + ( ) ( ) \]- **Note:** Round to three decimal places as needed.This module guides you in understanding linear relationships between two variables—specifically, the correlation between text messages sent and received—and how to represent this with a linear equation using scatterplots. **Messaging Statistics**The table below presents data on the number of messages sent and received.| Sent | Received ||------|----------|| 1 | 0 || 0 | 3 || 52 | 56 || 74 | 76 || 100 | 102 || 3 | 6 || 250 | 252 || 300 | 301 || 3 | 3 || 2 | 3 || 0 | 2 || 3 | 3 || 10 | 14 || 2 | 3 || 6 | 8 || 1 | 0 || 3 | 3 || 1 | 4 || 4 | 4 || 65 | 66 |Each row in the table shows the number of messages sent compared to the number received over different time periods or sessions. This data can be used to analyze messaging trends and patterns.

Please find the explanation below. Thank you.

The accompanying table shows the number of text messages sent and received by some people in one day. Complete parts (a) through (d) below. Click the icon to view the table of messages sent and received. a. Make a scatterplot of the data, and state the sign of the slope from the scatterplot. Use the number sent as the independent variable. Choose the correct scatterplot below. A. 350- 350 Messages Sent B. Predicted 350- 350 Messages Received 350- The slope of the scatterplot is positive. b. Use linear regression to find the equation of the best-fit line. 350 Messages Sent =+ (Round to three decimal places as needed.) 350- 350 Messages Received

The accompanying table shows the number of text messages sent and received by some people in one day. Complete parts (a) through (d) below. Click the icon to view the table of messages sent and received. a. Make a scatterplot of the data, and state the sign of the slope from the scatterplot. Use the number sent as the independent variable. Choose the correct scatterplot below. A. 350- 350 Messages Sent B. Predicted 350- 350 Messages Received 350- The slope of the scatterplot is positive. b. Use linear regression to find the equation of the best-fit line. 350 Messages Sent =+ (Round to three decimal places as needed.) 350- 350 Messages Received

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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Question

100%

### Analyzing Text Message Data

The accompanying table shows the number of text messages sent and received by some people in one day. Complete parts (a) through (d) below.

- **Click the icon to view the table of messages sent and received.**

#### a. Creating a Scatterplot
- **Task:** Make a scatterplot of the data, and state the sign of the slope from the scatterplot. Use the number sent as the independent variable. Choose the correct scatterplot below.

- **Scatterplot Options:**
- **A:** This plot has "Messages Sent" on the x-axis and "Messages Received" on the y-axis, showing a positive trend.
- **B:** This plot has "Messages Received" on the x-axis and "Messages Sent" on the y-axis, showing a negative trend.
- **C:** (Selected) This plot correctly represents "Messages Sent" on the x-axis and "Messages Received" on the y-axis, illustrating a positive correlation.
- **D:** This plot is similar to B, with "Messages Received" on the x-axis and "Messages Sent" on the y-axis but with reversed trend indications.

- **Result:** The slope of the scatterplot is **positive.**

#### b. Linear Regression Analysis
- **Objective:** Use linear regression to find the equation of the best-fit line.

- **Equation Format:**
\[
\text{Predicted } ( ) = ( ) + ( ) ( )
\]

- **Note:** Round to three decimal places as needed.

This module guides you in understanding linear relationships between two variables—specifically, the correlation between text messages sent and received—and how to represent this with a linear equation using scatterplots.

**Messaging Statistics**

The table below presents data on the number of messages sent and received.

| Sent | Received |
|------|----------|
| 1 | 0 |
| 0 | 3 |
| 52 | 56 |
| 74 | 76 |
| 100 | 102 |
| 3 | 6 |
| 250 | 252 |
| 300 | 301 |
| 3 | 3 |
| 2 | 3 |
| 0 | 2 |
| 3 | 3 |
| 10 | 14 |
| 2 | 3 |
| 6 | 8 |
| 1 | 0 |
| 3 | 3 |
| 1 | 4 |
| 4 | 4 |
| 65 | 66 |

Each row in the table shows the number of messages sent compared to the number received over different time periods or sessions. This data can be used to analyze messaging trends and patterns.

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