Which two of the four scatter plots have most positive correlation and closer to zero correlation The image contains a grid with four scatter plots, labeled A, B, C, and D.- **Scatter Plot A (Top Left):** This chart shows a negative correlation between the two variables. The data points are distributed such that as the value of one variable increases, the other decreases.- **Scatter Plot B (Top Right):** This chart displays a positive correlation. The data points suggest that as one variable increases, so does the other, forming an upward trend.- **Scatter Plot C (Bottom Left):** This plot has a random distribution of points, indicating no clear correlation between the variables. The data points are scattered without a discernible pattern.- **Scatter Plot D (Bottom Right):** Similar to Plot C, this plot also shows a spread of data points with no evident correlation, suggesting a lack of a linear relationship between the variables.Each scatter plot illustrates a different type of correlation, useful for understanding how pairs of variables might be related.

Answered: Which two of the four scatter plots…

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Which two of the four scatter plots have most positive correlation and closer to zero correlation

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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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

Which two of the four scatter plots have most positive correlation and closer to zero correlation

The image contains a grid with four scatter plots, labeled A, B, C, and D.

- **Scatter Plot A (Top Left):** This chart shows a negative correlation between the two variables. The data points are distributed such that as the value of one variable increases, the other decreases.

- **Scatter Plot B (Top Right):** This chart displays a positive correlation. The data points suggest that as one variable increases, so does the other, forming an upward trend.

- **Scatter Plot C (Bottom Left):** This plot has a random distribution of points, indicating no clear correlation between the variables. The data points are scattered without a discernible pattern.

- **Scatter Plot D (Bottom Right):** Similar to Plot C, this plot also shows a spread of data points with no evident correlation, suggesting a lack of a linear relationship between the variables.

Each scatter plot illustrates a different type of correlation, useful for understanding how pairs of variables might be related.

Definition Definition Relationship between two independent variables. A correlation 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.

Expert Solution

Step 1

The most positive correlation is showing in plot B because there is an increasing trend present.

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