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: a) What is dependent and independent variables?  b) Fully write out the regression equation  c) Fill in the missing values ‘*’, ‘**’, and ‘***’.  d) Hence test whether ? is significant. Give reasons for your answer.  e) Perform the F Test making sure to state the null and alternative hypothesis.  f) Given an interpretation of the term “R-sq” and comment on its value.

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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:

a) What is dependent and independent variables? 
b) Fully write out the regression equation 
c) Fill in the missing values ‘*’, ‘**’, and ‘***’. 
d) Hence test whether ? is significant. Give reasons for your answer. 
e) Perform the F Test making sure to state the null and alternative hypothesis. 
f) Given an interpretation of the term “R-sq” and comment on its value.

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
-0.7527
0.3586
-2.0991
MIL
**
ENG
4.8124
0.6196
7.7664
0.0000
Analysis of Variance
Source
DF
MS
Regression
3
413.1291
138.7097
***
0.00
Error
50
457.7607
2.2888
Total
53
Transcribed Image Text: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 -0.7527 0.3586 -2.0991 MIL ** ENG 4.8124 0.6196 7.7664 0.0000 Analysis of Variance Source DF MS Regression 3 413.1291 138.7097 *** 0.00 Error 50 457.7607 2.2888 Total 53
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