a c program designed to compute regression analysis for big data

1. MAKERERE UNIVERSITY
SCHOOL OF STATISTICS AND PLANNING
DEPARTMENT OF STATISTICAL METHODS
BACHELOR OF STATISTICS
AND
BACHELOR OF QUANTITATIVE ECONOMICS 2012/2013
GROUP

2. REQUIRED
• TO ESTIMATE THE REGRESSION CO-
EFFICIENT AND CONSTANT.
• TO BE ABLE TO INTERPLET WHETHER
JOB CREATION BY YOUTHS IS
DEPENDANT ON THE AMOUNT GIVEN
TO THEM AND WHAT IS THE
RELATIONSHIP

3. CHOICES AND DECISIONS
• We decided to use c programming language
when designing the program that computes the
REGRESSION CO-EFFICIENT AND
CONSTANT because of the following
1. C language is simple to learn and adopt to.
2. C language is portable, a program can be
designed on one system and be used on a
different system

4. STEPS IN DESIGNING THE PROGRAM
• After accessing the data base with information
about the amount given to the youths and the
number of jobs created in a year
• We designed a program that used a sample of 8
members on the database that were sampled to
help us make the regression line and compute
the co-efficient and constant b and a.

5. C TECHIQUES USED
• In the c-program we use a multi functional
technique.
• We have a sum function and a product function
plus the main function
• The sum and product function are just invoked
to help simplify the running of the program as
most of our calculations evolve at sums and
products

11. CONCLUSION
• From above the program calculates the
REGRESSION CO-EFFICIENT AND
CONSTANT of the amount of money given to
the youths and the jobs created in a year.