# In your own words, describe the difference between continuous and discrete data sets. What is the difference between the independent and dependent variable? How do you determine which goes on which axis on your graph? What are the four types of correlation? How do they differ from one another? In your own words, explain the difference between correlation and causation.

1. In your own words, describe the difference between continuous and discrete data sets.
2. What is the difference between the independent and dependent variable? How do you determine which goes on which axis on your graph?
3. What are the four types of correlation?
4. How do they differ from one another?
5. In your own words, explain the difference between correlation and causation.
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As per our company guidelines we supposed to answer only first question. kindly repost other in next question.
1. The difference between continuous and discrete data sets is as follows,
1) The set of data is said to be continuous if the values belonging to the set can take any values within a finite or infinite interval. And the set of data said to be discrete if the values belonging to the set are distinct and separate.
2) The continuous data is measurable. Continuous data can take on any value as it’s measured. And discrete data is countable. It is typically things counted in whole numbers.
3) Continuous Dataset example: i)Your weight. Your weight can be any weight within the range of human weights. Your weight is not a specific fixed number. ii)Time in a race. A race can be timed to a millisecond.
4)Discrete dataset example: i)Kids per class. How many students there are in each classroom in your school.ii) Apples on a tree. The number of apples on each tree in an orchard. Discrete data can also be categorical, such as green or blue, male or female etc.
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