Question

Please explain in details

a) When two variables are correlated, can the researcher be sure that one variable causes the other? If YES , why? If NO , why?

b) What is meant by the statement that two variables are related? Discuss.

Answer #1

When the two variables are correlated, they are associated
with each other, but it doesn’t mean that one is causing the other.
Explain why

One can infer causation from statistical correlation: if
variables are highly correlated then one of the variables must be
causally related to the other. True or False.

Explain why the following statement is not correct:
All explanatory variables that are significantly correlated with
the response variable will have a statistically significant
correlation coefficient in multiple regression

A
chi test tells us:
a. Whether two continuous variables are correlated with each
other
b. Whether two discrete variables are independent of each
other
c. The amount of variation in one variable explained by the
other
d. Which categories of one variable are associated with which
categories of the other variables

One of the major misconceptions about correlation is that a
relationship between two variables means causation; that is, one
variable causes changes in the other variable. There is a
particular tendency to make this causal error, when the two
variables seem to be related to each other.
What is one instance where you have seen correlation
misinterpreted as causation? Please describe
Can you help me understand how to answer this question

One of the major misconceptions about correlation is that a
relationship between two variables means causation; that is, one
variable causes changes in the other variable. There is a
particular tendency to make this causal error, when the two
variables seem to be related to each other.
What is one instance where you have seen correlation
misinterpreted as causation? Please describe.
an orginal post please

Two variables, A and B, are correlated with Pearson’s r and the
obtained correlation is -0.23. Both variables are then standardized
to Z scores and the variables, now in Z scores, are correlated
again. Will the correlation between the Z score format of A and B
differ from the original correlation of -0.23? Explain how it may
or may not differ and why?

Many times, multiple variables can be correlated, affecting the
outcome of the dependent variable. Describe, in detail, the process
for determining if more than one variable contributes to the
outcome of a single dependent variable.
How accurate is a regression analysis and how do you know? What
attributes of the analysis will determine whether the analysis is
accurate and to what extent? Can inaccurate regression analyses be
used to an analyzer’s benefit? Explain in detail

1. Describe and example in which two variables are strongly
correlated, but changes in one does not cause changes in the other.
Does correlation imply causation?
2.
A) Give an example of two events that are mutually exclusive
(disjoint).
B) Given an example of two events that are not mutually
exclusive (not disjoint).

Please if you can explain in paragrahs with details and
example that would be great!
I am trying to undertand the Guassian Curve.
1) How does the number of trials affect the
accuracy of the Guassian Curve?
2) How does the number of trials affect the
Precision of the Guassian Curve?
Sorry, I meant to say Gaussian Function or Normal distribution
Function.

ADVERTISEMENT

Get Answers For Free

Most questions answered within 1 hours.

ADVERTISEMENT

asked 20 seconds ago

asked 3 minutes ago

asked 13 minutes ago

asked 13 minutes ago

asked 17 minutes ago

asked 37 minutes ago

asked 50 minutes ago

asked 56 minutes ago

asked 1 hour ago

asked 1 hour ago

asked 1 hour ago

asked 1 hour ago