The task is to match the linear correlation coefficient to the scatter diagram. The given correlation coefficient is -0.784. Four scatter plot options are provided to choose from, labeled as A, B, C, and D.**Scatter Plot A:**- Displays a downward trend with a cluster of points that generally move from the upper left to the lower right.- Suggests a possible negative correlation.**Scatter Plot B:**- Points show an upward linear trend, moving from the lower left to the upper right.- Indicates a positive correlation.**Scatter Plot C:**- Exhibits a clear downward trend with closely grouped points, moving from top left to bottom right.- Strongly suggests a negative correlation, potentially a match for -0.784.**Scatter Plot D:**- Points are scattered, with a general downward trend, but less clustered than C.- Suggests a weaker negative correlation.To submit your answer, use the checkbox next to each option and then click the "Check Answer" button.(Note: Choose the graph that best fits the correlation coefficient of -0.784, which would likely be Scatter Plot C due to its clear strong negative correlation.)

The value of correlation coefficient (r) ranges from –1 to 1. The value of r closer to –1 or 1…

Match the linear correlation coefficient to the scatter diagram. r-0.764 Choose the correct graph below. OA. O B. c. OD. Explanatory Explanatory Explanatory Explanatory Response Response esponse Response

Match the linear correlation coefficient to the scatter diagram. r-0.764 Choose the correct graph below. OA. O B. c. OD. Explanatory Explanatory Explanatory Explanatory Response Response esponse Response

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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Concept explainers

Correlation

Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.

Linear Correlation

A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.

Regression Analysis

Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.

Question

The task is to match the linear correlation coefficient to the scatter diagram. The given correlation coefficient is -0.784. Four scatter plot options are provided to choose from, labeled as A, B, C, and D.

**Scatter Plot A:**
- Displays a downward trend with a cluster of points that generally move from the upper left to the lower right.
- Suggests a possible negative correlation.

**Scatter Plot B:**
- Points show an upward linear trend, moving from the lower left to the upper right.
- Indicates a positive correlation.

**Scatter Plot C:**
- Exhibits a clear downward trend with closely grouped points, moving from top left to bottom right.
- Strongly suggests a negative correlation, potentially a match for -0.784.

**Scatter Plot D:**
- Points are scattered, with a general downward trend, but less clustered than C.
- Suggests a weaker negative correlation.

To submit your answer, use the checkbox next to each option and then click the "Check Answer" button.

(Note: Choose the graph that best fits the correlation coefficient of -0.784, which would likely be Scatter Plot C due to its clear strong negative correlation.)

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