Please help me with these homework

. I have to turn in tuesday 3/3/15

**ECO-301: Milestone 2 Directions**

The
focus of this analysis involves analyzing key economic themes such as demand,
production, cost, and market structure with quantitative techniques like
regression analysis and linear programming for a specific company. For purposes of this project you will select
a product or service with substantial data.

Some possible topics:
unemployment and crime, exports and underdeveloped countries, demand/supply of
higher education, air pollution and population, etc.

**You will formulate an
introduction and problem statement and collect data sources. **

**1.
****Introduction and Statement of Problem**

a. **Introduction and Statement of Problem**: What problem are you trying to
solve? This is where you would discuss
key information; why the issue/problem is important, sources of data you plan
to use, estimation procedure you will use, variables, assumptions, weaknesses
of data, etc. (Some possible topics:
unemployment and crime, exports and underdeveloped countries, demand/supply of
higher education, air pollution and population, etc.)

i.
Introduce and describe the
product or service being evaluated. Why
the issue/problem is important

ii.
Model Formation: This refers to the model, hypothesis, or
theoretical framework that will be used to explain and/or forecast some
variables. In the usual case, the model will be in the form of functional
equations. QD = f(P, Y, …)

iii.
Data Sources: Include the
sources of data you plant to use, complete description with references.

1. Variables: What variables are used? Why are the variables used in the model?,
Consider relation among measurable variables,
what is the impact of an independent variable X on a dependent variable
Y, what are some additional independent variable that could influence variable
Y

2. Assumptions of Data: Consider the following in your analysis;
accurate/consistent, sample is representative of the population, unbiased,
efficient

3. Weaknesses of Data: Currency, not complete data set, biased
selection, not scientifically accurate

4. Estimation Procedure: Consider what estimation procedure you plan
to use (if you are using time series data, be sure to account for the
identification problem). Why this particular procedure was chosen.

**ECO-310: Milestone 3 Directions**

Submit
the results of your regression analysis for the demand function you are
estimating for your term project.
Include:

·
The data used to estimate the
demand model

·
The results of the analysis, an
analysis of the results

·
Description of remaining issue
that needs to be addressed before the final paper is submitted.

Using
your inventory of data collected, you will estimate and perform various
analyses which will lead you to an evaluation.
At the conclusion of your analysis you will address how this example can
inform other real-world decision making in other organizations as well as your
own decision-making and management skills.

__Statistical Analysis and Tests__

1. Evaluate Adj*R*^{2}.

2. Each variable (independent variables
have to be tested by using t-test, so as to see whether each of the variables
(exogenous or independent) that you have include in the function has an effect
on the dependent variable (left hand side).

3. For t-test, the following steps
should be followed:

(i) *H*_{0}: *?*_{0}
= 0

(Null hypothesis)

*H*_{A}: *?*_{0}¹ 0

(Alternate hypothesis)

If t calculated > t table value (*n-k*) degrees of freedom

where:

*n* =
# of observations

*k*= # of parameters, i.e. # of right
hand side variables plus the constant

then*H*_{0} is rejected, i.e. the variable you are testing has an
effect on the dependent variable.

4. Do F-test, by
following these steps:

(i) *H*_{0}: *?*_{0}
= *?*_{1} = *?*_{2} = 0

(Null hypothesis)

*H*_{A}: At least one *?*
is not equal to zero

(Alternate hypothesis)

(ii) If F calculated > F table
value

Then *H*_{0} is rejected, i.e. all the right-hand-side variables
are important.