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=a+BAGE+YMIL+8ENG 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 ***** Coef stDev t-ratio p-value Predict or Constan 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 7.7664 0.0000 *** Analysis of Variance Source DF ss MS F Regressi 3 413.1291 138.709 **** 0.00 on Error 50 457.7607 2.2888 Total 53 d) Hence test whether 8 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.

A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
Section: Chapter Questions
Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
icon
Related questions
icon
Concept explainers
Topic Video
Question

The value for R-Sq is unknown. Please solve for questions d, e and f. Thank you.

a) The dependent variable is SALES- amount of the vehicle is sold for
The independent variables are :
AGE -age of the vehicle
MIL - the total mileage of the vehicle at the point of sale
ENG -the size of the engine
b) The regression equation is
SALES=1.7586 + 0.2124(AGE) – 0.7527(MIL) + 4.8124(ENG)
c) The missing values are as follows:
Predictor
Coef
SE coef
t ratio
p value
constant
1.7586
0.2525
6.9646
0.0000
AGE
0.2124
0.3175
0.6690
0.5042
MIL
-0.7527
0.3586
-2.0991
0.0633
ENG
4.8124
0.6196
7.7664
0.0000
ANALYSIS OF VARIANCE TABLE:
Source
DF
SS
MS
F
Regression
3
413.1291
138.7097
60.6037
0.00
Residual error
50
457.7607
2.2888
Total
53
Transcribed Image Text:a) The dependent variable is SALES- amount of the vehicle is sold for The independent variables are : AGE -age of the vehicle MIL - the total mileage of the vehicle at the point of sale ENG -the size of the engine b) The regression equation is SALES=1.7586 + 0.2124(AGE) – 0.7527(MIL) + 4.8124(ENG) c) The missing values are as follows: Predictor Coef SE coef t ratio p value constant 1.7586 0.2525 6.9646 0.0000 AGE 0.2124 0.3175 0.6690 0.5042 MIL -0.7527 0.3586 -2.0991 0.0633 ENG 4.8124 0.6196 7.7664 0.0000 ANALYSIS OF VARIANCE TABLE: Source DF SS MS F Regression 3 413.1291 138.7097 60.6037 0.00 Residual error 50 457.7607 2.2888 Total 53
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=a+BAGE+YMIL+8ENG
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 *****
Coef
stDev
t-ratio
p-value
Predict
or
Constan
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
***
7.7664
0.0000
Analysis of Variance
Source
DF
SS
MS
F
Regressi
3
413.1291
138.709
****
0.00
on
7
Error
50
457.7607
2.2888
Total
53
d) Hence test whether 8 is significant. Give reasons for your answer.
e) Perform the F Test making sure to state the mull and alternative hypothesis.
f) Given an interpretation of the term "R-sq" and comment on its value.
Transcribed Image Text: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=a+BAGE+YMIL+8ENG 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 ***** Coef stDev t-ratio p-value Predict or Constan 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 *** 7.7664 0.0000 Analysis of Variance Source DF SS MS F Regressi 3 413.1291 138.709 **** 0.00 on 7 Error 50 457.7607 2.2888 Total 53 d) Hence test whether 8 is significant. Give reasons for your answer. e) Perform the F Test making sure to state the mull and alternative hypothesis. f) Given an interpretation of the term "R-sq" and comment on its value.
Expert Solution
steps

Step by step

Solved in 4 steps

Blurred answer
Knowledge Booster
Sample space, Events, and Basic Rules of Probability
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, probability and related others by exploring similar questions and additional content below.
Recommended textbooks for you
A First Course in Probability (10th Edition)
A First Course in Probability (10th Edition)
Probability
ISBN:
9780134753119
Author:
Sheldon Ross
Publisher:
PEARSON
A First Course in Probability
A First Course in Probability
Probability
ISBN:
9780321794772
Author:
Sheldon Ross
Publisher:
PEARSON