Hints for Problem Set 5: Estimating Population Covariance and Variance - Prof. Adil Mohomm, Assignments of Economic statistics

Hints for solving problem set 5, which involves estimating population covariance and variance under different conditions. The hints include using the formula for covariance, transforming variables, and calculating the sum of squared residuals and r-squared for given data. Additionally, the hints provide information on how to handle binomial distributions for problems 4 and 5.

Typology: Assignments

Pre 2010

Uploaded on 07/30/2009

koofers-user-2lo-1
koofers-user-2lo-1 🇺🇸

10 documents

1 / 1

Toggle sidebar

This page cannot be seen from the preview

Don't miss anything!

bg1
Hints for problem set 5
1. This is an easier problem than it looks. Work with the following formula:
b=cov(x; y)=var(x)
Now we want to estimate again under two cases:
1. x=x=100
2. y=y=12
Recall the formula: C ov(a1x+b1; a2y+b2) = a1a2C ov(x; y )
and var(ax) = a2var (x)
Now substitute the transformed variables into the equation for band solve
for the new estimate in each case, seperately.
2. For R2;recall that s2(e) = var(e) = 1
n1(e2
i):Using this and the
information given on se, we can solve for the sum of squared residuals (SSE)
and R2= 1 (SSE=SST)
For problems 4,5: The underlying distribution is binomial (the response is
yes or no in repeated trials). Use the formula for the variance of a binomial
= np(1-p) for each sample, and then assume that the underlying variance in
both samples is the same (make a pooled sample variance). Then form the
t-statistic/con…dence interval.
1

Partial preview of the text

Download Hints for Problem Set 5: Estimating Population Covariance and Variance - Prof. Adil Mohomm and more Assignments Economic statistics in PDF only on Docsity!

Hints for problem set 5

  1. This is an easier problem than it looks. Work with the following formula:

b = cov(x; y)=var(x) Now we want to estimate again under two cases:

  1. x^ = x= 100
  2. y^ = y= 12

Recall the formula: Cov(a 1 x + b 1 ; a 2 y + b 2 ) = a 1 a 2 Cov(x; y) and var(ax) = a^2 var(x)

Now substitute the transformed variables into the equation for b and solve for the new estimate in each case, seperately.

  1. For R^2 ; recall that s^2 (e) = var(e) = (^) n^11 (e^2 i ): Using this and the information given on se, we can solve for the sum of squared residuals (SSE) and R^2 = 1 (SSE=SST )

For problems 4,5: The underlying distribution is binomial (the response is yes or no in repeated trials). Use the formula for the variance of a binomial = np(1-p) for each sample, and then assume that the underlying variance in both samples is the same (make a pooled sample variance). Then form the t-statistic/conÖdence interval.