BUSINESS ADMINISTRATION
RESEARCH METHODOLOGY
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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numerical methods used to determine whether research data support a hypothesis or whether results were due to chance
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describes the direction and strength of the relationshop between two sets of variables
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a measure of difference, or spread
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the listing and summarising of data in a practical, efficient way
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Detailed explanation-1: -The correlation coefficient is a statistical measure of the strength of a linear relationship between two variables. Its values can range from-1 to 1. A correlation coefficient of-1 describes a perfect negative, or inverse, correlation, with values in one series rising as those in the other decline, and vice versa.
Detailed explanation-2: -A correlation coefficient measures the strength of that relationship. Calculating a Pearson correlation coefficient requires the assumption that the relationship between the two variables is linear. The relationship between two variables is generally considered strong when their r value is larger than 0.7.
Detailed explanation-3: -Definition of Correlation: Correlation is a statistical technique that is used to measure and describe the STRENGTH and DIRECTION of the relationship between two variables. Correlation requires two scores from the SAME individuals. These scores are normally identified as X and Y.
Detailed explanation-4: -The closer r is to +1, the stronger the positive correlation is. The closer r is to-1, the stronger the negative correlation is. If |r| = 1 exactly, the two variables are perfectly correlated! Temperature in Celsius and Fahrenheit are perfectly correlated.