Academic Integrity: tutoring, explanations, and feedback — we don’t complete graded work or submit on a student’s behalf.

I really just want to know if im understanding the question the correct way. I h

ID: 3329525 • Letter: I

Question

I really just want to know if im understanding the question the correct way. I have listed the cut off values below that I think are correct.

What are the cutoffs for the following values for determining which observations are influential

Store

Leverage (hii)

Rstudent

Cook’s D

DFFITS

1

0.2923892054

1.0881935729

0.1615357447

0.6995030288

2

0.2923892054

2.4431335021

0.6516966714

1.5704736061

3

0.0981323675

-0.182891518

0.0012782334

-0.060329302

4

0.0981323675

-1.981304066

0.1233824172

-0.653560609

5

0.0667553728

-0.926163218

0.02060666

-0.247703928

6

0.0667553728

-0.521987259

0.006755315

-0.13960638

7

0.0607989317

-1.872918444

0.0668668686

-0.476527043

8

0.0607989317

-0.158683552

0.0005727353

-0.04037389

9

0.0559953501

-1.449240952

0.0392544455

-0.352963269

10

0.0559953501

-0.752573146

0.0114598965

-0.18328952

11

0.1251477101

0.8491959416

0.0348982938

0.321182591

12

0.1251477101

0.5021760354

0.0125175037

0.1899328439

13

0.3563729116

1.964991771

0.6193702453

1.4621634436

14

0.3563729116

0.8045791277

0.1217371628

0.5986926792

15

0.0690226633

0.2113424039

0.0011622763

0.057545709

16

0.0690226633

0.2177150285

0.0012332387

0.0592808894

17

0.0801285438

-0.25675549

0.0020131298

-0.075779161

18

0.0801285438

-0.058311619

0.0001041953

-0.01721017

19

0.116654978

-0.482157267

0.0106644153

-0.175216569

20

0.116654978

0.9798340729

0.0423516451

0.3560729581

21

0.1786019656

0.8413513221

0.0521069068

0.3923229093

22

0.1786019656

-0.181896569

0.0025266429

-0.08481854

leverage (hii) : 2

rstudent (ti) :2

DFFITSi : 0.0

Cook’s Di: .1

Store

Leverage (hii)

Rstudent

Cook’s D

DFFITS

1

0.2923892054

1.0881935729

0.1615357447

0.6995030288

2

0.2923892054

2.4431335021

0.6516966714

1.5704736061

3

0.0981323675

-0.182891518

0.0012782334

-0.060329302

4

0.0981323675

-1.981304066

0.1233824172

-0.653560609

5

0.0667553728

-0.926163218

0.02060666

-0.247703928

6

0.0667553728

-0.521987259

0.006755315

-0.13960638

7

0.0607989317

-1.872918444

0.0668668686

-0.476527043

8

0.0607989317

-0.158683552

0.0005727353

-0.04037389

9

0.0559953501

-1.449240952

0.0392544455

-0.352963269

10

0.0559953501

-0.752573146

0.0114598965

-0.18328952

11

0.1251477101

0.8491959416

0.0348982938

0.321182591

12

0.1251477101

0.5021760354

0.0125175037

0.1899328439

13

0.3563729116

1.964991771

0.6193702453

1.4621634436

14

0.3563729116

0.8045791277

0.1217371628

0.5986926792

15

0.0690226633

0.2113424039

0.0011622763

0.057545709

16

0.0690226633

0.2177150285

0.0012332387

0.0592808894

17

0.0801285438

-0.25675549

0.0020131298

-0.075779161

18

0.0801285438

-0.058311619

0.0001041953

-0.01721017

19

0.116654978

-0.482157267

0.0106644153

-0.175216569

20

0.116654978

0.9798340729

0.0423516451

0.3560729581

21

0.1786019656

0.8413513221

0.0521069068

0.3923229093

22

0.1786019656

-0.181896569

0.0025266429

-0.08481854

Fit Diagnostics for Sales_IY 300o 200 100-o 208 -100 200 300 800 0.1 12001600 Predicted Value 800 1200 1600 0.2 0.3 Predicted Value Leverage 1750 1500 1250 1000 750 200 0.2 200 1250 Predicted Value 750 1750 -2 1 02 Quantile 0 5 1015 20 Observation Fit-Mean Residual 400 Observations 22 Parameters Error DF MSE R-Square 0.8087 Adj R-Square 0.7886 20 200 25251 400 a -480 -240 0 240 480 Residua 0.0 0.4 0.8 0.0 0.4 0.8 Proportion Less

Explanation / Answer

DFFITS and Cook's distance are two measures to identify influential points. An observation is considered influential if the absolute value of its DFFITS value is greater than 2sqrt[(p+1)/(n-p-1)], where, n is number of observations and p is the parameter including intercept. Thus, the cutoff value is: 2sqrt[(2+1)/(22-2-1)]=0.79. Thus, observation 2 (1.57>0.79) and observation 13 (1.46>0.79) are influential.

According to Cook's distance measure, Di, if Di is greater than 0.5, the ith data point is worthy of investigation, as it might be influential. If Di is greater than 1, the ith data point is quite likely to be influential, and if Di is remarkably different from rest, then the ith point is influential. Therefore, observation 2 and observation 13 are influential points, as both Cook's D are greater than 0.5.