Structurally deficient highway bridges. Data on structurally deficient highway bridges is compiled by the Federal Highway Administration...

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Structurally deficient highway bridges. Data onstructurally deficient highway bridges is compiled by the FederalHighway Administration (FHWA) and reported in the National BridgeInventory (NBI). For each state, the NBI lists the number ofstructurally deficient bridges and the total area (thousands ofsquare feet) of the deficient bridges. The data for the 50 states(plus the District of Columbia and Puerto Rico). For futureplanning and budgeting, the FHWA wants to estimate the total areaof structurally deficient bridges in a state based on the number ofdeficient bridges

NumberSD

SDArea

1899

432.71

155

60.92

181

110.57

997

347.35

3140

5177.97

580

316.92

358

387.78

20

9.05

24

59.34

302

412.92

1028

344.86

142

39.8

349

135.43

2501

1192.43

2030

688.19

5153

1069.71

2991

527.47

1362

458.37

1780

1453.26

349

131.13

388

236.18

585

521.83

1584

804.15

1156

325.9

3002

692.75

4433

1187.42

473

90.94

2382

335.75

47

20.08

383

127.66

750

752.43

404

196.67

2128

1427.73

2272

1034.61

743

101.42

2862

965.16

5793

1423.25

514

393.96

5802

2404.61

164

237.96

1260

626.38

1216

209.33

1325

481.31

2186

1031.45

233

102.56

500

153.8

1208

483.68

400

502.03

1058

331.59

1302

399.8

389

143.46

241

195.43

a) Deplaned on scatterplot, can you use linear regression topredict SDArea based onNumberSD? Explain.

b) Develop a simple linear regression equation to predict SDAreabased on NumberSD.

c) Is the model you found in (a) a good fit? Why or why not?

d) Predict the SDArea when the NumberSD is 1260 bridges. Findthe corresponding residuals.

e) Build a 90% CI, confidence interval, for coefficient ofNumberSD ( b1).

f) Repeat (e) with a 95% CI. What is the difference between youranswer in (e) and (f)?

Answer & Explanation Solved by verified expert
4.1 Ratings (519 Votes)
We will use Rsoftware to make scatterplot and to fit aregression modelGiven data isNumberSDSDArea189943271155609218111057997347353140517797580316923583877820905245934302412921028344861423983491354325011192432030688195153106971299152747136245837178014532634913113388236185855218315848041511563259300269275443311874247390942382335754720083831276675075243404196672128142773227210346174310142286296516579314232551439396580224046116423796126062638121620933132548131218610314523310256500153812084836840050203105833159130239983891434624119543First we will import data into R NumberSDscanclipboardRead 52 items SDAreascanclipboardRead 52 itemsheaddataframeNumberSDSDArea10 to print first 10 observations NumberSD SDArea11899 432712 155 60923181 110574 997 347355 31405177976580 316927358 38778820 905924 593410 302 41292a Deplaned on scatterplot can you use linear regression topredict SDArea based    See Answer
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