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I NEED THE STUDENT WORK TO BE DONE CONECTEED WITH STATISTIC

here are the rules: Statistical

analysis

Assignment

3:

Regression

This

is

an

assignment

on

correlation,

regression,

multiple

regression,

non-­‐linear

regression

and

the

use

of

dummy

variables.

It

requires

from

you

to:

• First,

think

of

an

interesting

question

that

can

be

addressed

by

regression

analysis.

Try

to

find

a

short

background

on

the

problem.

• Find

the

appropriate

data

for

your

problem

o You

may

use

the

data

or

at

least

the

source

from

the

previous

assignments

(optional,

you

can

use

new

data)

o The

data

should

include

at

least

two

metric

(interval

or

ratio)

variables

and

at

least

one

nominal

variable

to

be

converted

into

dummy

o Careful

about

the

number

of

observations

(at

least

variables

used

times

ten)!

• Plot

the

relationship

between

two

variables

in

an

appropriate

chart

• Estimate

the

simple

bivariate

linear

regression

between

the

pictured

variables

• Estimate

a

multiple

regression

o Code

the

nominal

variable

into

dummies

appropriately

o Comment

on

the

change

in

R2

and

regression

coefficient

compared

to

bivariate

linear

regression

o Use

one

of

the

model

building

approaches

(e.g.

non-­‐linear,

interaction,

forward

or

backward

selection…)

For

example

(DO

NOT

USE

THIS

EXAMPLE!)

take

27

EU

members,

FDI

as

%

of

GDP

as

a

dependent

variable,

GDP

per

capita

as

an

explanatory

and

an

indicator

of

whether

the

country

is

a

member

of

the

euro

area

or

not.

First

plot

the

relationship.

Say

the

relationship

is

increasing

at

a

decreasing

rate.

Compute

the

linear

regression

between

FDI

and

GDP.

Than

estimate

the

logarithmic

regression

(suitable

for

this

type

of

relationship).

Code

the

»euro

area«

appropriately.

Compute

the

regression

on

FDI

using

GDP

and

»euro

area«

as

indicators.

What

will

be

marked

for

this

assignment:

• Appropriate

data

(15%)

• Presentation

of

the

relationship

(25%)

• Simple

bivariate

linear

regression

(30%)

• Multiple

regression

(30%)

The

length

limit

is

four

pages.

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