show all workings.Perform the F Test making sure to state the null and alternative hypothesis. Give an interpretation of the term “R-sq” and comment on its value. The manager of the company wants to know how different variables affect thesales of his vehicles. A random sample of yearly data was taken with the viewto testing the model: SALES=a+BAGE+YMIL+8ENG Where SALES= amount thata vehicle is sold for($000's), AGE = age of the vehicle, MIL= the total mileage ofthe vehicle at the point of sale and ENG = the size of the engine. The sample ofdata was processed using MINITAB.The regression equation is *****CoefStDevt-ratio p-valuePredictorConstant1.75860.25256.96480.0000AGE0.21240.31750.5042MIL-0.75270.3586-2.0991ENG4.81240.61967.76640.0000R-sq=56.1$R-sq (adj) =59.8%Analysis of VarianceSourceDFMSpRegressionError350413.1291457.7607138.70972.28880.00***Total53

The null and alternative hypotheses are H0: All the coefficients are zeroH1: At least one of the…

Answered: how all workings. Perform the F Test…

how all workings. Perform the F Test making sure to state the null and alternative hypothesis. Give 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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Question

show all workings.

Perform the F Test making sure to state the null and alternative hypothesis.

Give an interpretation of the term “R-sq” and comment on its value.

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($000's), AGE = age of the vehicle, MIL= the total mileage of
the vehicle at the point of sale and ENG = the size of the engine. The sample of
data was processed using MINITAB.
The regression equation is *****
Coef
StDev
t-ratio p-value
Predictor
Constant
1.7586
0.2525
6.9648
0.0000
AGE
0.2124
0.3175
0.5042
MIL
-0.7527
0.3586
-2.0991
ENG
4.8124
0.6196
7.7664
0.0000
R-sq=56.1$
R-sq (adj) =59.8%
Analysis of Variance
Source
DF
MS
p
Regression
Error
3
50
413.1291
457.7607
138.7097
2.2888
0.00
***
Total
53

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