1. Open the dataset of FamilySedans (attached) Use descriptive statistics to summarize the data and make comments on them.2. Use regression analysis to develop an estimated regression equation that could be used to predict the value score given the price of the car. Use regression analysis to develop an estimated regression equation that could be used to predict the value score given the five-year owner costs.3. Use regression analysis to develop an estimated regression equation that could be used to predict the value score given the road-test score. Use regression analysis to develop an estimated regression equation that could be used to predict the value score given the predicted-reliability.4. What conclusions can you derive from your analysis? ACDEFRoad-Cost/TestPredictedValue1 Car2 Nissan Altima 2.5 S (4-cyl.)3 Kia Optima LX (2.4)4 Subaru Legacy 2.5i Premium5 Ford Fusion Hybrid6 Honda Accord LX-P (4-cyl.)7 Mazda6 i Sport (4-cyl.)Price ($) MileScoreReliabilityScore23,970.00 0.599141.7521,885.00 0.588141.7323,830.00 0.598341.7332,360.00 0.638451.7023,730.00 0.568041.6222,035.00 0.587341.608 Hyundai Sonata GLS (2.4)9 Ford Fusion SE (4-cyl.)10 Chevrolet Malibu LT (4-cyl.)21,800.00 0.568931.5823,625.00 0.577641.5524,115.00 0.577431.4811 Kia Optima SX (2.0T)12 Ford Fusion SEL (V6)13 Nissan Altima 3.5 SR (V6)29,050.00 0.728441.4328,400.00 0.678041.4230,335.00 0.699341.4214 Hyundai Sonata Limited (2.0T) 28,090.00 0.6615 Honda Accord EX-L (V6)8931.3928,695.00 0.679031.3616 Mazda6 s Grand Touring (V6) 30,790.00 0.7417 Ford Fusion SEL (V6, AWD) 30,055.00 0.7118 Subaru Legacy 3.6R Limited19 Chevrolet Malibu LTZ (V6)8141.347541.3230,094.00 0.718831.2928,045.00 0.678331.2020 Chrysler 200 Limited (V6)21 Chevrolet Impala LT (3.6)27,825.00 0.70521.2028,995.00 0.676331.0522

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Answered: Open the dataset of FamilySedans…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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1. Open the dataset of FamilySedans (attached) Use descriptive statistics to summarize the data and make comments on them.

2. Use regression analysis to develop an estimated regression equation that could be used to predict the value score given the price of the car. Use regression analysis to develop an estimated regression equation that could be used to predict the value score given the five-year owner costs.

3. Use regression analysis to develop an estimated regression equation that could be used to predict the value score given the road-test score. Use regression analysis to develop an estimated regression equation that could be used to predict the value score given the predicted-reliability.

4. What conclusions can you derive from your analysis?

A
C
D
E
F
Road-
Cost/
Test
Predicted
Value
1 Car
2 Nissan Altima 2.5 S (4-cyl.)
3 Kia Optima LX (2.4)
4 Subaru Legacy 2.5i Premium
5 Ford Fusion Hybrid
6 Honda Accord LX-P (4-cyl.)
7 Mazda6 i Sport (4-cyl.)
Price ($) Mile
Score
Reliability
Score
23,970.00 0.59
91
4
1.75
21,885.00 0.58
81
4
1.73
23,830.00 0.59
83
4
1.73
32,360.00 0.63
84
5
1.70
23,730.00 0.56
80
4
1.62
22,035.00 0.58
73
4
1.60
8 Hyundai Sonata GLS (2.4)
9 Ford Fusion SE (4-cyl.)
10 Chevrolet Malibu LT (4-cyl.)
21,800.00 0.56
89
3
1.58
23,625.00 0.57
76
4
1.55
24,115.00 0.57
74
3
1.48
11 Kia Optima SX (2.0T)
12 Ford Fusion SEL (V6)
13 Nissan Altima 3.5 SR (V6)
29,050.00 0.72
84
4
1.43
28,400.00 0.67
80
4
1.42
30,335.00 0.69
93
4
1.42
14 Hyundai Sonata Limited (2.0T) 28,090.00 0.66
15 Honda Accord EX-L (V6)
89
3
1.39
28,695.00 0.67
90
3
1.36
16 Mazda6 s Grand Touring (V6) 30,790.00 0.74
17 Ford Fusion SEL (V6, AWD) 30,055.00 0.71
18 Subaru Legacy 3.6R Limited
19 Chevrolet Malibu LTZ (V6)
81
4
1.34
75
4
1.32
30,094.00 0.71
88
3
1.29
28,045.00 0.67
83
3
1.20
20 Chrysler 200 Limited (V6)
21 Chevrolet Impala LT (3.6)
27,825.00 0.70
52
1.20
28,995.00 0.67
63
3
1.05
22

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