Data Analytics And Business Intelligence

Running head: DATA ANALYTICS AND BUSINESS INTELLIGENCE
DATA ANALYTICS AND BUSINESS INTELLIGENCE
Name of the Student
Name of the University

DATA ANALYTICS AND BUSINESS INTELLIGENCE
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Table of Contents
Q1...............................................................................................................................................3
Q2...............................................................................................................................................6
Q3...............................................................................................................................................7
References:.................................................................................................................................8

DATA ANALYTICS AND BUSINESS INTELLIGENCE
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Q1.
a)
The multiple regression equation is:
y=12.03 x1+ 9.39 x2 +385.38 .
Where y represents Sale, x1 represents no of radio and tv ads in thousands, and x2 represents
no of newspaper ads in thousands.
b)
The slope 12.03 implies that given that the number of newspaper ads is kept at a constant, an
unit increase in number of thousands of tv and radio ads, increases the sales by 12.03 times.
Simillarly, the slope 9.39 implies that given that the number of tv and radio ads is kept at a
constant, an unit increase in number of thousands of newspaper ads, increases the sales by
9.39 times.
c)
The intercept 385.38 implies that when there are no ads in tv and radio and also in
newspapers the number of sales is around $385.38.
d)
x1=50
x2=45
y=12.03∗50+9.39∗45+ 385.38 = $1409.43