The independent variable and also describe the reason due to which the correlation of dependent variables does not prove causation. Introduction: The term variable means something that can change. There are two kinds of variables -the dependent variable and the independent variable. Correlation is the study of the relationship between the variables.

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Answer 1

Question

Chapter 0.5, Problem 1LO

Summary Introduction

To determine: The independent variable and also describe the reason due to which the correlation of dependent variables does not prove causation.

Introduction: The term variable means something that can change. There are two kinds of variables -the dependent variable and the independent variable. Correlation is the study of the relationship between the variables.

Expert Solution & Answer

Explanation of Solution

Independent variables are the changes that are changed deliberately by the researcher in an experiment. An example of independent variables includes changes in the concentration of a solution.

The correlation does not prove that causation is described in the given example. When a researcher measures diabetes and obesity levels, the researcher compares two dependent variables. Individuals who are not obese tend to have diabetes. Just because an obese individual has diabetes does not correlate that obesity causes diabetes. Therefore, the correlation between dependent variables does not prove causation.

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Answer 2

Question

Chapter 0.5, Problem 1LO

Summary Introduction

To determine: The independent variable and also describe the reason due to which the correlation of dependent variables does not prove causation.

Introduction: The term variable means something that can change. There are two kinds of variables -the dependent variable and the independent variable. Correlation is the study of the relationship between the variables.

Expert Solution & Answer

Explanation of Solution

Independent variables are the changes that are changed deliberately by the researcher in an experiment. An example of independent variables includes changes in the concentration of a solution.

The correlation does not prove that causation is described in the given example. When a researcher measures diabetes and obesity levels, the researcher compares two dependent variables. Individuals who are not obese tend to have diabetes. Just because an obese individual has diabetes does not correlate that obesity causes diabetes. Therefore, the correlation between dependent variables does not prove causation.

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Answer 3

Question

Chapter 0.5, Problem 1LO

Summary Introduction

To determine: The independent variable and also describe the reason due to which the correlation of dependent variables does not prove causation.

Introduction: The term variable means something that can change. There are two kinds of variables -the dependent variable and the independent variable. Correlation is the study of the relationship between the variables.

Expert Solution & Answer

Explanation of Solution

Independent variables are the changes that are changed deliberately by the researcher in an experiment. An example of independent variables includes changes in the concentration of a solution.

The correlation does not prove that causation is described in the given example. When a researcher measures diabetes and obesity levels, the researcher compares two dependent variables. Individuals who are not obese tend to have diabetes. Just because an obese individual has diabetes does not correlate that obesity causes diabetes. Therefore, the correlation between dependent variables does not prove causation.

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Answer 4

Question

Chapter 0.5, Problem 1LO

Summary Introduction

To determine: The independent variable and also describe the reason due to which the correlation of dependent variables does not prove causation.

Introduction: The term variable means something that can change. There are two kinds of variables -the dependent variable and the independent variable. Correlation is the study of the relationship between the variables.

Expert Solution & Answer

Explanation of Solution

Independent variables are the changes that are changed deliberately by the researcher in an experiment. An example of independent variables includes changes in the concentration of a solution.

The correlation does not prove that causation is described in the given example. When a researcher measures diabetes and obesity levels, the researcher compares two dependent variables. Individuals who are not obese tend to have diabetes. Just because an obese individual has diabetes does not correlate that obesity causes diabetes. Therefore, the correlation between dependent variables does not prove causation.

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Answer 5

Chapter 0.5, Problem 1LO

Summary Introduction

To determine: The independent variable and also describe the reason due to which the correlation of dependent variables does not prove causation.

Introduction: The term variable means something that can change. There are two kinds of variables -the dependent variable and the independent variable. Correlation is the study of the relationship between the variables.

Expert Solution & Answer

Explanation of Solution

Independent variables are the changes that are changed deliberately by the researcher in an experiment. An example of independent variables includes changes in the concentration of a solution.

The correlation does not prove that causation is described in the given example. When a researcher measures diabetes and obesity levels, the researcher compares two dependent variables. Individuals who are not obese tend to have diabetes. Just because an obese individual has diabetes does not correlate that obesity causes diabetes. Therefore, the correlation between dependent variables does not prove causation.

Answer 6

Chapter 0.5, Problem 1LO

Summary Introduction

To determine: The independent variable and also describe the reason due to which the correlation of dependent variables does not prove causation.

Introduction: The term variable means something that can change. There are two kinds of variables -the dependent variable and the independent variable. Correlation is the study of the relationship between the variables.

Expert Solution & Answer

Explanation of Solution

Independent variables are the changes that are changed deliberately by the researcher in an experiment. An example of independent variables includes changes in the concentration of a solution.

The correlation does not prove that causation is described in the given example. When a researcher measures diabetes and obesity levels, the researcher compares two dependent variables. Individuals who are not obese tend to have diabetes. Just because an obese individual has diabetes does not correlate that obesity causes diabetes. Therefore, the correlation between dependent variables does not prove causation.

Answer 7

Chapter 0.5, Problem 1LO

Summary Introduction

To determine: The independent variable and also describe the reason due to which the correlation of dependent variables does not prove causation.

Introduction: The term variable means something that can change. There are two kinds of variables -the dependent variable and the independent variable. Correlation is the study of the relationship between the variables.

Answer 8

Expert Solution & Answer

Explanation of Solution

Independent variables are the changes that are changed deliberately by the researcher in an experiment. An example of independent variables includes changes in the concentration of a solution.

The correlation does not prove that causation is described in the given example. When a researcher measures diabetes and obesity levels, the researcher compares two dependent variables. Individuals who are not obese tend to have diabetes. Just because an obese individual has diabetes does not correlate that obesity causes diabetes. Therefore, the correlation between dependent variables does not prove causation.