1. CASE STUDY – ANDROS INTERCOM
Presented by – Bhawish Chowdhuary
Ravi Kumar Rai
Rhythyma Bhargava
Swati Singh

2. Personality Involved
• Dinos Andros => Founder, President.
• Fay Philmus => V.P, sales
• JON Richman => V.P , Finance.
• David => Assistant of Fay

3. FACTS
• LAST YEAR SALES UNDERESTIMATED = 16%
• LESS MATERIAL SUPPLIES => LESS Production.
• Year before => 21 %.
• “New sales person , a new forecaster”

4. Case : A look

5. Sales forecasting approaches
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Top Executive Approach.
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Company’s Sales Representative Approach.
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Customer Survey approach
But….

6. Regression Analysis
•
•
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Regression analysis is used to predict the value of one variable (the dependent
variable) on the basis of other variables (the independent variables).
Dependent variable: denoted Y
Independent variables: denoted X1, X2, …, Xk
•
If we only have ONE independent variable, the model is
Y   0  1 x1   2 x2   3 X 3   4 x4  
•
Above equation referred to as simple linear regression. We would be interested in
estimating β0 and β1 from the data we collect

7. Basic Assumptions..
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We want to see if there is a linear relationship, i.e.
•
we want to see if the slope ( β ) is something other than zero.
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Our research hypothesis becomes: H1: ≠ O
Thus the null hypothesis becomes: H0: = O

8. Data Given…

9. Regression …

10. Residual

11. Conclusion
Sales = 342 +1485.79 X1 - 0.144 X2 + 24.73 X3
Where,
X1= Advertisement
X2= Price
X3= Housing start

12. Thank you
&
Keep Smiling