No, we can never tell that correlation is equal to causation. It is a common misconception when looking at data tables.
For instance, if we have a table that shows a correlation of scores on two tests in a row. We may see that there is a correlation between the two numbers. Students who did well on the first test may have done well on the second as well, and those who have not done well on the first may have done poorly on the second.
However, doing bad on the first test does not cause someone to do bad on the second one. Likely the cause is their studying habits, intelligence or aptitude in the area.
So in this example, there is correlation between the sets of data, but it does not prove causation.
Answer:
10
Step-by-step explanation:
Both of your answers are correct.
In the first question, there is a discontinuity in the graph; however, the limit does indeed exist and its value is 2.
In the second question, lim x→4 does not exist, while all of the other do. The options then just involve checking if the correct value of the limit is stated with the value of x, and you did this well.
11x + 11 v BBC Eva use its necessary
2x - 2y = -12
- 2y = -2x - 12
y = x + 6
4x - 7 (x + 6) = -15
4x - 7x - 42 = -15
-3x - 42 = -15
-3x = 27
x = -9
y = -9 + 6
y = -3
(-9 , -3) is the solution
