Example runs from consumer protest study

Oneway Analysis of Positiv By type

Oneway Anova

Summary of Fit

Rsquare

0.407688

Adj Rsquare

0.323072

Root Mean Square Error

1.632546

Mean of Response

5.497411

Observations (or Sum Wgts)

57

Analysis of Variance

Source

DF

Sum of Squares

Mean Square

F Ratio

Prob > F

type

7

89.88852

12.8412

4.8181

0.0003

Error

49

130.59515

2.6652

C. Total

56

220.48367

Source	DF	Sum of Squares	Mean Square	F Ratio	Prob > F
type	7	89.88852	12.8412	4.8181	0.0003
Error	49	130.59515	2.6652
C. Total	56	220.48367

Means for Oneway Anova

Level

Number

Mean

Std Error

Lower 95%

Upper 95%

adbuster

10

4.50864

0.51626

3.4712

5.5461

bodyfat

7

8.03382

0.61704

6.7938

9.2738

consumerism

4

7.20464

0.81627

5.5643

8.8450

exploit

6

6.24467

0.66648

4.9053

7.5840

food

11

4.66313

0.49223

3.6740

5.6523

microsoft

7

4.55179

0.61704

3.3118

5.7918

television

8

4.75000

0.57719

3.5901

5.9099

tobacco

4

6.14643

0.81627

4.5061

7.7868

Std Error uses a pooled estimate of error variance

Level	Number	Mean	Std Error	Lower 95%	Upper 95%
adbuster	10	4.50864	0.51626	3.4712	5.5461
bodyfat	7	8.03382	0.61704	6.7938	9.2738
consumerism	4	7.20464	0.81627	5.5643	8.8450
exploit	6	6.24467	0.66648	4.9053	7.5840
food	11	4.66313	0.49223	3.6740	5.6523
microsoft	7	4.55179	0.61704	3.3118	5.7918
television	8	4.75000	0.57719	3.5901	5.9099
tobacco	4	6.14643	0.81627	4.5061	7.7868

Oneway Analysis of Negativ By type

Oneway Anova

Summary of Fit

Rsquare

0.238802

Adj Rsquare

0.130059

Root Mean Square Error

1.616973

Mean of Response

3.475381

Observations (or Sum Wgts)

57

Analysis of Variance

Source

DF

Sum of Squares

Mean Square

F Ratio

Prob > F

type

7

40.19220

5.74174

2.1960

0.0507

Error

49

128.11550

2.61460

C. Total

56

168.30770

Source	DF	Sum of Squares	Mean Square	F Ratio	Prob > F
type	7	40.19220	5.74174	2.1960	0.0507
Error	49	128.11550	2.61460
C. Total	56	168.30770

Means for Oneway Anova

Level

Number

Mean

Std Error

Lower 95%

Upper 95%

adbuster

10

4.21408

0.51133

3.1865

5.2416

bodyfat

7

2.71789

0.61116

1.4897

3.9461

consumerism

4

3.60956

0.80849

1.9848

5.2343

exploit

6

2.78162

0.66013

1.4550

4.1082

food

11

4.70938

0.48754

3.7296

5.6891

microsoft

7

2.78656

0.61116

1.5584

4.0147

television

8

2.50061

0.57169

1.3518

3.6495

tobacco

4

3.62218

0.80849

1.9975

5.2469

Std Error uses a pooled estimate of error variance

Level	Number	Mean	Std Error	Lower 95%	Upper 95%
adbuster	10	4.21408	0.51133	3.1865	5.2416
bodyfat	7	2.71789	0.61116	1.4897	3.9461
consumerism	4	3.60956	0.80849	1.9848	5.2343
exploit	6	2.78162	0.66013	1.4550	4.1082
food	11	4.70938	0.48754	3.7296	5.6891
microsoft	7	2.78656	0.61116	1.5584	4.0147
television	8	2.50061	0.57169	1.3518	3.6495
tobacco	4	3.62218	0.80849	1.9975	5.2469

Oneway Analysis of Strong By type

Oneway Anova

Summary of Fit

Rsquare

0.408706

Adj Rsquare

0.324236

Root Mean Square Error

2.807713

Mean of Response

11.5784

Observations (or Sum Wgts)

57

Analysis of Variance

Source

DF

Sum of Squares

Mean Square

F Ratio

Prob > F

type

7

266.99876

38.1427

4.8384

0.0003

Error

49

386.27937

7.8833

C. Total

56

653.27813

Source	DF	Sum of Squares	Mean Square	F Ratio	Prob > F
type	7	266.99876	38.1427	4.8384	0.0003
Error	49	386.27937	7.8833
C. Total	56	653.27813

Means for Oneway Anova

Level

Number

Mean

Std Error

Lower 95%

Upper 95%

adbuster

10

15.4436

0.8879

13.659

17.228

bodyfat

7

10.4558

1.0612

8.323

12.588

consumerism

4

13.1220

1.4039

10.301

15.943

exploit

6

11.7616

1.1462

9.458

14.065

food

11

10.3315

0.8466

8.630

12.033

microsoft

7

9.5865

1.0612

7.454

11.719

television

8

9.3396

0.9927

7.345

11.334

tobacco

4

13.4539

1.4039

10.633

16.275

Std Error uses a pooled estimate of error variance

Level	Number	Mean	Std Error	Lower 95%	Upper 95%
adbuster	10	15.4436	0.8879	13.659	17.228
bodyfat	7	10.4558	1.0612	8.323	12.588
consumerism	4	13.1220	1.4039	10.301	15.943
exploit	6	11.7616	1.1462	9.458	14.065
food	11	10.3315	0.8466	8.630	12.033
microsoft	7	9.5865	1.0612	7.454	11.719
television	8	9.3396	0.9927	7.345	11.334
tobacco	4	13.4539	1.4039	10.633	16.275

Oneway Analysis of Weak By type

Oneway Anova

Summary of Fit

Rsquare

0.221647

Adj Rsquare

0.110454

Root Mean Square Error

0.743214

Mean of Response

1.341209

Observations (or Sum Wgts)

57

Analysis of Variance

Source

DF

Sum of Squares

Mean Square

F Ratio

Prob > F

type

7

7.707411

1.10106

1.9933

0.0750

Error

49

27.065954

0.55237

C. Total

56

34.773365

Source	DF	Sum of Squares	Mean Square	F Ratio	Prob > F
type	7	7.707411	1.10106	1.9933	0.0750
Error	49	27.065954	0.55237
C. Total	56	34.773365

Means for Oneway Anova

Level

Number

Mean

Std Error

Lower 95%

Upper 95%

adbuster

10

1.55795

0.23502

1.0857

2.0303

bodyfat

7

0.78062

0.28091

0.2161

1.3451

consumerism

4

1.83733

0.37161

1.0906

2.5841

exploit

6

0.79546

0.30342

0.1857

1.4052

food

11

1.53788

0.22409

1.0876

1.9882

microsoft

7

1.14640

0.28091

0.5819

1.7109

television

8

1.74776

0.26277

1.2197

2.2758

tobacco

4

1.08984

0.37161

0.3431

1.8366

Std Error uses a pooled estimate of error variance

Level	Number	Mean	Std Error	Lower 95%	Upper 95%
adbuster	10	1.55795	0.23502	1.0857	2.0303
bodyfat	7	0.78062	0.28091	0.2161	1.3451
consumerism	4	1.83733	0.37161	1.0906	2.5841
exploit	6	0.79546	0.30342	0.1857	1.4052
food	11	1.53788	0.22409	1.0876	1.9882
microsoft	7	1.14640	0.28091	0.5819	1.7109
television	8	1.74776	0.26277	1.2197	2.2758
tobacco	4	1.08984	0.37161	0.3431	1.8366

Oneway Analysis of Active By type

Oneway Anova

Summary of Fit

Rsquare

0.369614

Adj Rsquare

0.279559

Root Mean Square Error

2.280593

Mean of Response

10.31168

Observations (or Sum Wgts)

57

Analysis of Variance

Source

DF

Sum of Squares

Mean Square

F Ratio

Prob > F

type

7

149.42875

21.3470

4.1043

0.0013

Error

49

254.85405

5.2011

C. Total

56

404.28280

Source	DF	Sum of Squares	Mean Square	F Ratio	Prob > F
type	7	149.42875	21.3470	4.1043	0.0013
Error	49	254.85405	5.2011
C. Total	56	404.28280

Means for Oneway Anova

Level

Number

Mean

Std Error

Lower 95%

Upper 95%

adbuster

10

11.0980

0.7212

9.649

12.547

bodyfat

7

7.9374

0.8620

6.205

9.670

consumerism

4

12.8660

1.1403

10.575

15.158

exploit

6

12.4897

0.9310

10.619

14.361

food

11

9.2748

0.6876

7.893

10.657

microsoft

7

10.7612

0.8620

9.029

12.493

television

8

8.6219

0.8063

7.002

10.242

tobacco

4

12.1240

1.1403

9.833

14.416

Std Error uses a pooled estimate of error variance

Level	Number	Mean	Std Error	Lower 95%	Upper 95%
adbuster	10	11.0980	0.7212	9.649	12.547
bodyfat	7	7.9374	0.8620	6.205	9.670
consumerism	4	12.8660	1.1403	10.575	15.158
exploit	6	12.4897	0.9310	10.619	14.361
food	11	9.2748	0.6876	7.893	10.657
microsoft	7	10.7612	0.8620	9.029	12.493
television	8	8.6219	0.8063	7.002	10.242
tobacco	4	12.1240	1.1403	9.833	14.416

Oneway Analysis of Passive By type

Oneway Anova

Summary of Fit

Rsquare

0.113632

Adj Rsquare

-0.01299

Root Mean Square Error

1.522198

Mean of Response

3.312851

Observations (or Sum Wgts)

57

Analysis of Variance

Source

DF

Sum of Squares

Mean Square

F Ratio

Prob > F

type

7

14.55546

2.07935

0.8974

0.5161

Error

49

113.53720

2.31709

C. Total

56

128.09266

Source	DF	Sum of Squares	Mean Square	F Ratio	Prob > F
type	7	14.55546	2.07935	0.8974	0.5161
Error	49	113.53720	2.31709
C. Total	56	128.09266

Means for Oneway Anova

Level

Number

Mean

Std Error

Lower 95%

Upper 95%

adbuster

10

3.36706

0.48136

2.3997

4.3344

bodyfat

7

4.38451

0.57534

3.2283

5.5407

consumerism

4

3.17152

0.76110

1.6420

4.7010

exploit

6

3.10196

0.62143

1.8531

4.3508

food

11

2.83330

0.45896

1.9110

3.7556

microsoft

7

2.76401

0.57534

1.6078

3.9202

television

8

3.37235

0.53818

2.2908

4.4539

tobacco

4

3.91982

0.76110

2.3903

5.4493

Std Error uses a pooled estimate of error variance

Rsquare	0.407688
Adj Rsquare	0.323072
Root Mean Square Error	1.632546
Mean of Response	5.497411
Observations (or Sum Wgts)	57

Rsquare	0.238802
Adj Rsquare	0.130059
Root Mean Square Error	1.616973
Mean of Response	3.475381
Observations (or Sum Wgts)	57

Rsquare	0.408706
Adj Rsquare	0.324236
Root Mean Square Error	2.807713
Mean of Response	11.5784
Observations (or Sum Wgts)	57

Rsquare	0.221647
Adj Rsquare	0.110454
Root Mean Square Error	0.743214
Mean of Response	1.341209
Observations (or Sum Wgts)	57

Rsquare	0.369614
Adj Rsquare	0.279559
Root Mean Square Error	2.280593
Mean of Response	10.31168
Observations (or Sum Wgts)	57

Rsquare	0.113632
Adj Rsquare	-0.01299
Root Mean Square Error	1.522198
Mean of Response	3.312851
Observations (or Sum Wgts)	57

Level	Number	Mean	Std Error	Lower 95%	Upper 95%
adbuster	10	3.36706	0.48136	2.3997	4.3344
bodyfat	7	4.38451	0.57534	3.2283	5.5407
consumerism	4	3.17152	0.76110	1.6420	4.7010
exploit	6	3.10196	0.62143	1.8531	4.3508
food	11	2.83330	0.45896	1.9110	3.7556
microsoft	7	2.76401	0.57534	1.6078	3.9202
television	8	3.37235	0.53818	2.2908	4.4539
tobacco	4	3.91982	0.76110	2.3903	5.4493