Answer:
undefined because the change in y is zero since they do not change, therefore it is undefined
Answer:
-5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, and anything else above.
Step-by-step explanation:
Answer:
x = -1, -10
Step-by-step explanation:
Answer:
3n+3=5.4
3n=2.5
n= 4/5
Step-by-step explanation:
0.8
Answer:
The correct answer is wins and rebounds are correlated positively ,but we cannot decided that having more rebounds leads to more wins,on average.
Step-by-step explanation:
From the example given, the most appropriate conclusion is that, because causation is not the same as correlation, If two variables are compared,this does not mean that one leads to the other.
An observed data is based on correlation,but for description of causation ,we need to make experiments,as we update the variable treatment regarding to the changes in response variable.
