Use auto.dta $($saved in STATA memory$)$ Open the "collegeadmision.dta" dataset that is available with the question.

Draw a twoway scatter graph of natural log of score $($dependent variable$)$ and

natural log of income $($independent$)$ on the same graph Make sure that the graph

has the following specifications:

the scatter marker shape will be hollow diamonds

The scatter marker color will be red

The scatter marker size is vsmall

Include titles for the horizontal and vertical intercepts & the whole chart

The horizontal axis title should be Log of Income

The vertical axis tile should be Log of Score

The title for the whole chart should be Relationship between Test Scores and

Income

The background of the graph should be white Continue from Question $2$A

Superimpose the lfit graph of log of score and log of income

on the scatter between these two variables $($from Question

$.$ The superimposition should be done with a $||$ symbol as

done in class exercises. Retain the specifications for the

scatters from the previous question. Make sure you use the

specifications for the lfit

The line width is medium thick

The line color is blue

The Line pattern is dashed

Legend is off

i$.$ Define a local macro called characteristics which contains the

variables turn displacement rep $78$ & length $.$

ii$.$ Call this local macro to find the descriptive statistics of this local

macro & regress price on this local macro for domestic cars and

for foreign cars separately.

iii. Write codes with a forvalues loop which will generate $100$

variables x$1,$ x$2,.....$ x$99,$ x$100$ which come from some random

normal distribution.

iv$.$ Write the code to find the descriptive statistics of these new

variables with output suppressed.

v$.$ Use a foreach loop to regress price on turn displacement rep$78$

& length individually