# Help Answering 2 questions based the three items selected (i…

Help Answering 2 questions based the three items selected (independent, variable, variable.) **Original Answer ** No Plagiarizing —->Due tomorrow Saturday March 26, 2022 by 7:00pm<----- ---->Don’t Accept if you’r not able to have done by due date<---- SEE ATTACHMENT FOR FULL INSTRUCTION I selected my 3 variables you can see it in the attachment please answer the two questions base of of my selected variables. But read the attachment for clarification. Title: Analyzing the Relationships between Independent and Dependent Variables Introduction: In this assignment, we will examine the relationships between three selected variables: the independent variable (IV), variable A, and variable B. By understanding the dependencies and dynamics between these variables, we can gain valuable insights into their effects and potential interactions. Independent Variable: The independent variable, denoted as IV, represents the factor or condition that is manipulated or controlled by the researcher. It is the variable that is believed to have an impact on the dependent variable(s) and is often under the researcher's control. In this case, the specific independent variable has not been mentioned in the description provided. However, for the purpose of this analysis, let's assume the independent variable is variable C. Variable A: Variable A is one of the dependent variables that we are examining. It is influenced by the independent variable, IV, as well as other potential factors. Variable A may be a continuous or discrete variable that can be measured or observed in the context of the study. The exact nature of variable A, whether it is a categorical or continuous variable, is not explicitly mentioned in the provided description. Variable B: Variable B is another dependent variable that we will be considering. Similar to variable A, it is influenced by the independent variable, IV, as well as other relevant factors. The specific characteristics of variable B and its measurement scale have not been explicitly stated. Research Questions: Based on the provided information and the selected variables, we will now propose two research questions: Research Question 1: What is the relationship between the independent variable (IV: variable C) and variable A? Research Question 2: What is the relationship between the independent variable (IV: variable C) and variable B? Research Question 1: Relationship between IV (variable C) and Variable A: To answer this research question, we need to assess the association or correlation between the independent variable (variable C) and the dependent variable, variable A. Statistical methods, such as correlation analysis, can be employed to quantify the strength and direction of this relationship. Depending on the type of relationship observed (positive, negative, or no relationship), further analysis and interpretation can be conducted. It is important to consider potential confounding variables or other factors that may influence the relationship between the independent variable and variable A. Research Question 2: Relationship between IV (variable C) and Variable B: Similar to the first research question, a correlation analysis can be applied to determine the relationship between the independent variable (variable C) and the second dependent variable, variable B. We can assess the strength and direction of this relationship, taking into account potential confounding factors. Additionally, it is essential to consider if the relationship between the independent variable and variable B is independent of variable A or if there is an interaction effect. Conclusion: By analyzing the relationships between the independent variable (IV), variable A, and variable B, we can gain a deeper understanding of the factors influencing variable A and variable B. Through correlation analysis, we can identify the strength, direction, and potential interactions among these variables. It is important to note that further analysis and interpretation should consider potential confounding variables and the specific characteristics of the variables involved.