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
icon
Related questions
Question
100%

B?

### 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.
Transcribed Image Text:### 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.
Transcribed Image Text:**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.
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 4 steps with 5 images

Blurred answer
Recommended textbooks for you
MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman