Regression Analysis | Answers to Questions

Running head: REGRESSION ANALYSIS
Regression Analysis
Name of the Student:
Name of the University:
Author note:

REGRESSION ANALYSIS1
Table of Contents
Answer to the question 3............................................................................................................2
Answer to the question 5............................................................................................................3
Answer to the question 6............................................................................................................4
Answer to the question 11..........................................................................................................5
Part (a)....................................................................................................................................5
Part (b)....................................................................................................................................5
Part (c)....................................................................................................................................6
Answer to the question 12..........................................................................................................7
Answer to the question 17..........................................................................................................8
Part (a)....................................................................................................................................8
Part (b)....................................................................................................................................8
Part (c)....................................................................................................................................9
Bibliography.............................................................................................................................11

REGRESSION ANALYSIS2
Answer to the question 3
In this problem the total cost is dependent variable and unit product is explanatory variable.
Table 1 Regression output
Hence the regression model becomes
Total cost= 11757.97+224.53*unit product
When unit product is 450
Total cost= 11757.97+224.53*450
= 112795.2
o there is no wrong in the analysis. If there is more than one explanatory variable then the
model becomes good as comparison to table 1.It has been seen that the company installed a
new machinery at the end of 18th month. Therefore after the introduction of new machinery
the unit production increases and profit of the company is also increases.
Date:

REGRESSION ANALYSIS3
To:
From:
Subject: production cost
The study provides a monthly production and total cost. It has been seen that the
company installed a new machinery at the end of 18th month. Therefore after the introduction
of new machinery the unit production increases and profit of the company is also increases.
For unit product 450, the total cost becomes 112795.2. The study illustrate a simple linear
regression analysis. From this study it is clear that there is a strong and positive relationship
between unit cost and total cost.
Answer to the question 5
Table 2 Regression output
The regression model becomes
Sales= 604.38+152.93 * month