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.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.6: Summarizing Categorical Data
Problem 26PPS
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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.
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