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Questions and Answers
What is the term used to describe the relationship between two variables where a 10% increase in one variable leads to a 5% decrease in another?
If the price of a good increases by 10% and the demand decreases by 5%, what type of relationship exists between the two variables?
What is the term used to describe a relationship between two variables where a change in one variable leads to a less than proportionate change in the other?
If the price of a good increases by 5% and the demand decreases by 10%, what type of relationship exists between the two variables?
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What is the term used to describe a relationship between two variables where the coefficient of correlation is -1?
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If two variables have a coefficient of correlation of 0.5, what can be inferred about their relationship?
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What is the term used to describe a relationship between two variables where the coefficient of correlation is 0?
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If two variables have a coefficient of correlation of -0.8, what can be inferred about their relationship?
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What is implied by the absence of a causal relationship between sales and profit?
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What is the result of a regression analysis?
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What is the purpose of regression analysis?
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What is the implication of a correlation between sales and profit?
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What is the significance of a correlation between two variables?
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What is the limitation of a correlation analysis?
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What is the purpose of identifying a correlation between two variables?
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What is the implication of a lack of correlation between sales and profit?
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What is the relationship between two variables when we can determine the value of one variable by knowing the value of the other?
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What is the purpose of correlation analysis?
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What is the benefit of using correlation analysis?
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What is the type of correlation that is used to compare the correlation coefficient with a certain value?
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What is the significance of correlation analysis in understanding the relationship between variables?
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What are the two types of correlation?
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What is the type of correlation that is used to analyze the relationship between two variables while controlling for the effect of other variables?
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What is the classification of correlation based on the number of variables involved?
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What does a scatter diagram represent?
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What happens to the correlation coefficient as the points move closer to the line?
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What is the correlation coefficient when the points are scattered randomly?
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What is the strength of the positive relationship when the points are close to the line?
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What is the direction of the relationship when the correlation coefficient is negative?
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What is the correlation coefficient when the points are in a perfect straight line?
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What is the correlation coefficient when there is no relationship between the variables?
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What is the purpose of a scatter diagram?
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Study Notes
Course Overview
- TTM4C04: Business Statistics and Information Technology II
- Credits: 4
- Lecture hours: 5
- Objective: To provide an understanding of tourism, travel industry management, and computer applications in the context of information technology.
Module Objectives
- To understand the importance of statistical tools and techniques in business decision-making
- To apply statistical methods to analyze and interpret business data
- To use computer applications to visualize and present business data
Correlation Analysis
- Correlation analysis is used to identify the strength and direction of the relationship between two variables
- Coefficient of correlation (r) measures the degree of correlation between two variables
- Correlation coefficient values:
- r = 1: perfect positive correlation
- r = -1: perfect negative correlation
- r = 0: no correlation
- Types of correlation:
- Positive correlation: as one variable increases, the other variable also increases
- Negative correlation: as one variable increases, the other variable decreases
- No correlation: no relationship between the two variables
Interpreting Correlation Coefficients
- Strength of correlation:
- Strong correlation: r ≥ 0.7
- Moderate correlation: 0.3 ≤ r ≤ 0.7
- Weak correlation: 0.1 ≤ r ≤ 0.3
- No correlation: r ≤ 0.1
- Direction of correlation:
- Positive direction: r > 0
- Negative direction: r < 0
Scatter Diagrams
- A scatter diagram is a graphical representation of the relationship between two variables
- Uses:
- To identify the strength and direction of the correlation
- To detect patterns and outliers in the data
- Types of scatter diagrams:
- Positive scatter diagram: indicates a positive correlation
- Negative scatter diagram: indicates a negative correlation
- Random scatter diagram: indicates no correlation
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Description
This quiz covers the basics of tourism management, including the use of computers and information technology in the travel industry. It assesses the student's understanding of tourism statistics and information systems.