Beachcomber Ltd in a local car dealership that sells used and new vehicles. The manager of the company wants to know how different variables affect the sales of his vehicles. A random sample of yearly data was taken with the view to testing the model: SALES=?+?AGE+?MIL+?ENG Where SALES= amount that a vehicle is sold for($000’s), AGE = age of the vehicle, MIL= the total mileage of the vehicle at the point of sale and ENG = the size of the engine. The sample of data was processed using MINITAB and the following is an extract of the output obtained: The regression equation is ***** Predictor    Coef      StDev     t-ratio     p-value Constant    1.7586    0.2525   6.9648       0.0000 AGE             0.2124   0.3175       *            0.5042 MIL -           0.7527   0.3586    -2.0991         ** ENG            4.8124    0.6196    7.7664       0.0000 Analysis of Variance Source          DF      SS               MS             F       p Regression    3      413.1291   138.7097      ***    0.00 Error           50       457.7607     2.2888 Total            53 a) What is dependent and independent variables?

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
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Chapter4: Equations Of Linear Functions
Section4.5: Correlation And Causation
Problem 2AGP
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Beachcomber Ltd in a local car dealership that sells used and new vehicles. The manager of the
company wants to know how different variables affect the sales of his vehicles. A random sample of
yearly data was taken with the view to testing the model:
SALES=?+?AGE+?MIL+?ENG
Where SALES= amount that a vehicle is sold for($000’s), AGE = age of the vehicle, MIL= the total
mileage of the vehicle at the point of sale and ENG = the size of the engine. The sample of data was
processed using MINITAB and the following is an extract of the output obtained:
The regression equation is *****
Predictor    Coef      StDev     t-ratio     p-value
Constant    1.7586    0.2525   6.9648       0.0000
AGE             0.2124   0.3175       *            0.5042
MIL -           0.7527   0.3586    -2.0991         **
ENG            4.8124    0.6196    7.7664       0.0000
Analysis of Variance
Source          DF      SS               MS             F       p
Regression    3      413.1291   138.7097      ***    0.00
Error           50       457.7607     2.2888
Total            53
a) What is dependent and independent variables?

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