A bank reviews its customer records at the end of each month to find out how many customers have become unemployed, $u$, and how many have had their house repossessed, $h$, during that month - Edexcel - A-Level Maths Statistics - Question 2 - 2012 - Paper 2
Question 2
A bank reviews its customer records at the end of each month to find out how many customers have become unemployed, $u$, and how many have had their house repossesse... show full transcript
Worked Solution & Example Answer:A bank reviews its customer records at the end of each month to find out how many customers have become unemployed, $u$, and how many have had their house repossessed, $h$, during that month - Edexcel - A-Level Maths Statistics - Question 2 - 2012 - Paper 2
Step 1
Calculate the value of the product moment correlation coefficient for $x$ and $y$
96%
114 rated
Only available for registered users.
Sign up now to view full answer, or log in if you already have an account!
Answer
To compute the product moment correlation coefficient, we use the formula:
r=[n∑x2−(∑x)2][n∑y2−(∑y)2]n(∑xy)−(∑x)(∑y)
First, determine n=12 (the number of months).
Calculate ∑xy using the transformation:
Since y is derived from h, we can backtrack to calculate h. Using the values in the summary, we can derive values for x and y.
Substitute the computed values into the formula and simplify to find r.
The final result is:
r≈0.818.
Step 2
Write down the product moment correlation coefficient for $u$ and $h$
99%
104 rated
Only available for registered users.
Sign up now to view full answer, or log in if you already have an account!
Answer
The product moment correlation coefficient for u and h is the same as for x and y, due to the linear transformation used. Therefore, it is:
r=0.818
Step 3
State, with a reason, whether or not the bank's claim is supported by these data
96%
101 rated
Only available for registered users.
Sign up now to view full answer, or log in if you already have an account!
Answer
The bank's claim is supported by these data. Since the correlation coefficient r=0.818, which indicates a strong positive correlation, it implies that an increase in unemployment is associated with an increase in house repossessions. Given that ∣r∣>0.8, there is enough evidence to support the claim.