This document discusses the design of a C programming language program to estimate the regression coefficient and constant when analyzing the relationship between the amount of money given to youths and the number of jobs created. It describes choosing C due to its simplicity, portability, and functions for calculations. The program accesses a database of 8 samples, uses sum and product functions to calculate the regression line coefficient and constant, and determines whether job creation depends on the amount given.

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.