Yes, there is causation between the two given variables, as the weight is related at some point with the amount of calories consumed.
<h3>
What does correlation and causation mean?</h3>
For two variables x and y, we say that there is causation when, if we modify one of the variables, the other changes in response.
Correlation just means that the variables are related in some way (maybe both have a causation relationship with the same other variable)
So causation implies correlation.
Correlation does not imply causation.
In this case, we have the example:
x = The number of additional calories consumed
y = amount of weight gained.
Clearly, we have causation between x and y as larger is the value of x, larger will be the value of x.-
Learn more about correlation.
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the answer to the question is
Answer: -3060
68
-45
--------
340
272x <-- the x is in place of a zero
--------
3060
times the negative: -3060
Answer:
a. 0.50
Step-by-step explanation:
The standard error of the mean is the standard deviation of the population divided by the square root of the sample size.
In this problem, we have that:
Standard deviation of the population: 6 hours
Sample size: 144
Square root of 144 is 12.
So the standard error of the sample mean is 6/12 = 0.5.
Answer:
I'm pretty sure it is $3.04.. Hope this helps..
Step-by-step explanation:
