Correlation Video Lecture | Statistics for Economics - Class XI - Commerce

51 videos|41 docs|12 tests

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Video Timeline
Video Timeline
arrow
00:21 What is Correlation?
04:46 Correlation & Causation
07:36 Importance of Correlation
08:59 Types of Correlation
11:17 On the basis of Degree of Change
15:14 On the basis of Number of Variables
More

FAQs on Correlation Video Lecture - Statistics for Economics - Class XI - Commerce

1. What is correlation?
Ans. Correlation is a statistical measure that determines the relationship between two variables. It helps to understand how changes in one variable are associated with changes in another variable. Correlation can range from -1 to +1, where -1 indicates a perfect negative correlation, +1 indicates a perfect positive correlation, and 0 indicates no correlation.
2. How is correlation calculated?
Ans. Correlation is calculated using the correlation coefficient, which is a numerical value between -1 and +1. The most common method to calculate correlation is Pearson's correlation coefficient. It is calculated by dividing the covariance of the two variables by the product of their standard deviations.
3. What does a positive correlation indicate?
Ans. A positive correlation indicates that as one variable increases, the other variable also tends to increase. In other words, there is a direct relationship between the two variables. For example, if there is a positive correlation between studying hours and exam scores, it means that as the number of studying hours increases, the exam scores also tend to increase.
4. What does a negative correlation indicate?
Ans. A negative correlation indicates that as one variable increases, the other variable tends to decrease. In other words, there is an inverse relationship between the two variables. For example, if there is a negative correlation between temperature and snowfall, it means that as the temperature increases, the amount of snowfall tends to decrease.
5. Can correlation imply causation?
Ans. No, correlation does not imply causation. Just because two variables are correlated, it does not necessarily mean that one variable causes the other to change. Correlation only indicates the strength and direction of the relationship between the variables, but it does not provide any information about the cause-and-effect relationship.
51 videos|41 docs|12 tests
Video Timeline
Video Timeline
arrow
00:21 What is Correlation?
04:46 Correlation & Causation
07:36 Importance of Correlation
08:59 Types of Correlation
11:17 On the basis of Degree of Change
15:14 On the basis of Number of Variables
More
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