Statistics problem
This is my path to world domination... muahahahaha.
Kidding... not kidding.
Anyways, here's the raw data:
Now, here are the questions:
(a) obtain the product moment correlation coefficient to 4 significant figures, between the number of visitors and time in days; comment on this coefficient
(b) let day = d and no. of visitors = v; find the equation of the regression line of d on v in the form d = a + bv, where a and b are constants to 3 significant figures; give a practical interpretation of both constants
(c) using the regression line, extrapolate to work out the number of visitors, to 3 significant figures, my blog will have in a year (assuming 1 year = 365 days)
(d) give logical reasons why the method and result in (c) are inappropriate
Tips: Should not be difficult if you know the method, but there is a lot of data here - easy to make careless mistakes - so be patient.
Bonus: If you are extremely enthusiastic, do (a) to (d) for the number of countries, c
Good luck to all who are doing Statistics 1!
Go back to the main post of this week: Hong Kong case studies
Kidding... not kidding.
Anyways, here's the raw data:
Now, here are the questions:
(a) obtain the product moment correlation coefficient to 4 significant figures, between the number of visitors and time in days; comment on this coefficient
(b) let day = d and no. of visitors = v; find the equation of the regression line of d on v in the form d = a + bv, where a and b are constants to 3 significant figures; give a practical interpretation of both constants
(c) using the regression line, extrapolate to work out the number of visitors, to 3 significant figures, my blog will have in a year (assuming 1 year = 365 days)
(d) give logical reasons why the method and result in (c) are inappropriate
Tips: Should not be difficult if you know the method, but there is a lot of data here - easy to make careless mistakes - so be patient.
Bonus: If you are extremely enthusiastic, do (a) to (d) for the number of countries, c
Good luck to all who are doing Statistics 1!
Go back to the main post of this week: Hong Kong case studies
0 Comments:
Post a Comment
<< Home