A startup team is interested in creating a productivity app. In estimating the cost of creating the app, they collected sample data and developed the following regression equation: ŷ = -8.631 + 20.947x1 + 0.251=2 + 1.373z3 where z, = number of developers I = number of hours spent creating the app = cost of software and testing (S'000) y = total cost of creating app (s'000) a. What is the value of by in the equation? by = b. Does it make sense to interpret by in this equation? o Yes o No c. Predict the cost of creating an app involving 5 developers, 650 hours and $25,000 in software and testing costs. $4

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
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A startup team is interested in creating a productivity app. In estimating the cost of
creating the app, they collected sample data and developed the following regression
equation:
ŷ = -8.631 + 20.94711 +0.251r2 + 1.373z3
where = number of developers
I = number of hours spent creating the app
I3 = cost of software and testing (S'000)
y = total cost of creating app (S'000)
a. What is the value of bz in the equation?
b2
b. Does it make sense to interpret bg in this equation?
o Yes
O No
c. Predict the cost of creating an app involving 5 developers, 650 hours and $25,000 in
software and testing costs.
Transcribed Image Text:A startup team is interested in creating a productivity app. In estimating the cost of creating the app, they collected sample data and developed the following regression equation: ŷ = -8.631 + 20.94711 +0.251r2 + 1.373z3 where = number of developers I = number of hours spent creating the app I3 = cost of software and testing (S'000) y = total cost of creating app (S'000) a. What is the value of bz in the equation? b2 b. Does it make sense to interpret bg in this equation? o Yes O No c. Predict the cost of creating an app involving 5 developers, 650 hours and $25,000 in software and testing costs.
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