hdfc 12 12

Date Open Price (in Rs.) High Price (in Rs.) Low Price (in Rs.) Last Traded Price (in Rs.) Close Price (in Rs.) Total Traded Quantity (in Rs.)

1-Oct-12 629 632 620 622.15 622.85 2013696

28-Sep-12 631.9 634.3 626.1 627.7 629.15 2751922

27-Sep-12 633 637 625.2 627 630.8 3965436

26-Sep-12 634.85 636.6 624.15 631.3 630.75 2682627

25-Sep-12 633 638.9 626.15 637 636.9 2921536

24-Sep-12 625.5 636.9 622.8 634.4 635 4393720

21-Sep-12 608.7 629 605.1 628.95 625.15 5900712

20-Sep-12 602 610 601 607 606.9 2622832

18-Sep-12 608.3 612 603.85 607 605.45 2509794

17-Sep-12 619 619.95 605.5 606.65 608.3 5271712

14-Sep-12 606.6 614.75 600.95 612.5 612.75 6442805

13-Sep-12 601 601.5 593.55 600 599.2 849940

12-Sep-12 595.25 600 593.9 599.4 599.2 1597754

11-Sep-12 588.75 597 583.35 596 594.4 1577886

10-Sep-12 591.5 597 589.35 590.3 591.15 1508723

8-Sep-12 590.55 592.8 590.55 590.55 591.05 58599

7-Sep-12 594.25 595 585.7 590.8 590.4 2801287

6-Sep-12 590.1 593.5 586.1 587.55 588.15 1274363

5-Sep-12 588 596 587.35 592 592.1 3039618

4-Sep-12 590.55 592.35 587.2 591 590.1 1443147

3-Sep-12 597.55 597.8 588 588.3 590.45 1859454

31-Aug-12 590.35 600 589.25 596 595.35 3126685

30-Aug-12 586 602 586 592.25 595.9 5679101

29-Aug-12 589.25 595.8 586.25 590 588.55 1682407

28-Aug-12 592.9 594.55 586.5 588.2 589.35 2223991

27-Aug-12 595 598.9 592.05 593.2 594.35 1011681

24-Aug-12 593.5 600.4 593.25 595.1 596.3 1677094

23-Aug-12 599.4 604.55 595.25 598 597.7 2356262

22-Aug-12 594.4 600.45 591.35 596.75 596.9 2395215

21-Aug-12 595 598.5 588.2 596.1 596.4 2085210

17-Aug-12 598.6 602.25 591.8 593.9 595.1 1921539

16-Aug-12 608 608.15 597.85 600.35 600.05 2035824

14-Aug-12 607.05 609 603.25 607.45 608.15 2806392

13-Aug-12 600 609.5 600 604.75 607.45 2105426

10-Aug-12 600 606.9 599.65 602.35 602.15 3781855

9-Aug-12 601 607 598.5 605.55 604.65 2468280

8-Aug-12 600 602 594.7 599.5 598.9 2013279

7-Aug-12 602 602.3 597 600.1 600.1 2807191

6-Aug-12 593.15 602 593 599.8 600.25 3082294

3-Aug-12 581 589 579.75 588 588.2 2487875

2-Aug-12 586.5 589.2 577.3 582.5 582.5 1721365

1-Aug-12 585.55 588.35 577.6 587.95 586.5 1967747

31-Jul-12 590 590 579.85 589.4 587.75 2097852

30-Jul-12 587.1 591.9 584 587.5 587.25 2116571

27-Jul-12 572 588.7 564.65 587 584.6 3357718

26-Jul-12 578 578.75 563 567 565.8 4426354

25-Jul-12 574.45 580.8 573.7 575.7 576.05 2203926

24-Jul-12 572.55 577.45 570.2 575.65 574.05 1326397

23-Jul-12 577.4 580 571.05 572.7 573 1523632

20-Jul-12 589 589 581 583 582.6 1042236

19-Jul-12 588.6 590.8 585.55 589.15 589.4 1200112

18-Jul-12 584.7 588.7 580.1 587.3 587 1779499

17-Jul-12 587 588.75 578.6 584.45 583.25 2134839

16-Jul-12 588 592.7 581.05 583 582.65 3212540

13-Jul-12 585 591.4 582.45 586 587.05 2377143

12-Jul-12 583.9 590.9 575.6 580 580.1 1895937

11-Jul-12 586.9 593.8 585.1 587.8 587 3074861

10-Jul-12 580 592.3 577.5 588.9 588.65 3385754

9-Jul-12 579.95 581.75 569.1 581.2 578.15 1915290

6-Jul-12 582.1 589 578.5 581.7 581.5 3935380

5-Jul-12 577.9 585 575.45 584.9 584.1 2095382

4-Jul-12 576.7 580.85 575.65 578.6 578 3202571

3-Jul-12 575.9 580 571.7 575.4 575.85 2116700

2-Jul-12 564 575 560 575 573.95 2050381

29-Jun-12 552.1 564.9 552.05 561.9 563.55 3164793

28-Jun-12 546.9 552.65 543.25 543.25 548.5 3035610

27-Jun-12 546 554.7 546 548.35 549 2984322

26-Jun-12 538 548 536.3 545 543.45 1463282

25-Jun-12 545.4 548.5 535 535.05 536.7 1593712

22-Jun-12 535.1 545.1 535.1 544.85 544.35 1542204

21-Jun-12 533 544.7 531.3 542.55 542.9 2663164

20-Jun-12 537 540.5 528.55 534.8 534.2 2383618

19-Jun-12 534.8 539 526.3 536.05 536.45 2965184

18-Jun-12 552 552 529.55 535.3 534.95 2809366

15-Jun-12 535 549.7 534.95 546.05 547.55 2483056

14-Jun-12 540 547.4 532.65 533.05 534.4 2160638

13-Jun-12 551 552.4 539.8 542 541.75 2016183

12-Jun-12 538.8 550.85 537.95 548.8 549.6 2813460

11-Jun-12 541.1 548.9 538.4 540.75 541.95 3267971

8-Jun-12 540.9 542.75 530.95 539.8 539.1 4830686

7-Jun-12 524.2 539.5 523 538.2 537.8 4950123

6-Jun-12 504.85 523 503.5 519.15 519.9 6272923

5-Jun-12 500 504.9 498.45 503.5 501.5 2677678

4-Jun-12 488 498.5 485.05 498.1 495.65 2840242

1-Jun-12 504 507.15 490 490.15 490.4 2927187

31-May-12 496 508.9 495.35 508 506.2 4759780

30-May-12 500.05 505.4 496.55 500.05 500.65 2541820

29-May-12 510.15 511.95 502.1 504.65 504.95 2643256

28-May-12 501.2 510.6 500 508.45 508.75 3051713

25-May-12 499.8 503.15 495.6 501 500 2798643

24-May-12 493 502.7 485 501 499.7 2884811

23-May-12 490 492.9 482.2 487 487.2 3173972

22-May-12 503.8 505 486.95 488.85 489.25 2774203

21-May-12 500.25 507.85 493.95 494.4 497.45 2135585

18-May-12 489.8 503.9 489 503 500.55 2403604

17-May-12 497 506.5 495 495 497.8 2904630

16-May-12 494 498.7 486 496.65 495.2 4240218

15-May-12 496 504.45 496 498.5 499.1 2004866

14-May-12 510.75 511.8 494.05 499.2 500.55 2758712

11-May-12 513.25 520 508.2 508.5 510.55 2012521

10-May-12 511.05 522.9 510 518.8 517.5 3021095

9-May-12 513.7 522.6 505.4 511.45 512.65 3755998

8-May-12 532.9 536.4 513.25 513.55 515.35 2820770

7-May-12 531.9 534.55 516.4 534 532.25 4178172

4-May-12 551.2 553.7 534.65 535.25 537.5 3087972

3-May-12 545.5 558 545.45 552.5 554.05 3428637

2-May-12 540.7 551 540.7 550.7 549.9 2244587

30-Apr-12 543.8 549 540.35 542.55 542.5 1509755

28-Apr-12 543.95 544.85 542.35 543.8 543.55 46322

27-Apr-12 542 546 534.2 538.65 541.15 1137255

26-Apr-12 545 549.95 539 541 540.5 2334738

25-Apr-12 544 549.5 538 546.55 546.65 2694597

24-Apr-12 546.1 546.5 539.4 543 541.85 2190195

23-Apr-12 551.95 556 543.3 545.1 545.35 2109412

20-Apr-12 552.25 558 546.45 550.45 551.1 3931275

19-Apr-12 540 555.6 537.2 553.3 554.05 4091669

18-Apr-12 533 539.9 533 538 537.65 3000071

17-Apr-12 532 535.9 521.1 530.95 530.25 3916452

16-Apr-12 528.9 531 524.1 529.95 529.75 4349021

13-Apr-12 536.4 537.75 523.9 528.2 529.35 2458357

12-Apr-12 525 534.5 524.3 531.9 530.4 3025822

11-Apr-12 521.85 530.95 517.1 527.3 526.45 1865812

10-Apr-12 523.4 526 515.85 525.45 524.85 1458518

9-Apr-12 523.75 526.3 520 521.05 521.75 1259185

4-Apr-12 525.25 529 524.4 528.7 526.55 1043769

3-Apr-12 533 536.4 528 529 530.2 3230203

2-Apr-12 518 529.95 516.1 528.35 528.35 1382733

30-Mar-12 512 523.85 509.75 516.95 519.85 2796244

29-Mar-12 508 514.1 505 510 510.1 4056279

28-Mar-12 518.5 518.5 510.05 513.25 513.45 2174873

27-Mar-12 515 521.8 512 520 518.85 2964338

26-Mar-12 513.5 516.5 505.65 512 511.65 2458229

23-Mar-12 509.5 518.75 500.95 514.8 513.95 2011791

22-Mar-12 513.9 522.4 500.1 502.8 504.25 2820016

21-Mar-12 503 517.85 503 516.4 515.65 3005393

20-Mar-12 496 510.85 493 505.9 505.4 1581068

19-Mar-12 510.05 510.05 495.1 497 498.85 3824942

16-Mar-12 510 524.9 505 505.1 507.85 3202652

15-Mar-12 528 530 509.05 509.9 510.8 3734799

14-Mar-12 528.1 530 521.45 529.7 528.2 2930281

13-Mar-12 523 527.5 520.35 522.75 524.4 2769857

12-Mar-12 534 534.5 517 518.7 518.95 2804346

9-Mar-12 522 527 519.65 523.15 523.2 2328761

7-Mar-12 506.85 518 497.55 517.5 515.65 1894409

6-Mar-12 509.8 521 503.25 505.45 507.4 2899297

5-Mar-12 520 520.95 505.55 511.45 510.95 2512843

3-Mar-12 518 521.5 518 518.75 519.3 77945

2-Mar-12 514 525 507.75 519.9 518.75 2029174

1-Mar-12 517 522.3 505.3 512.35 514 3049623

29-Feb-12 533.9 539.9 513.35 520 517.1 4997159

28-Feb-12 519.25 533.4 513.2 529.95 530.5 3700287

27-Feb-12 526.9 531.45 512.15 514 515.6 3830323

24-Feb-12 527.2 535.4 515.35 522.05 524.65 4095042

23-Feb-12 527.2 535.95 527.2 530.3 533.15 4273937

22-Feb-12 530 538.9 526.65 530.05 531.45 3480777

21-Feb-12 526 533.5 520.5 532.95 532.05 3707784

17-Feb-12 531.25 533 520.1 528.3 528.3 3554912

16-Feb-12 531 537.85 523.25 525.3 526.45 2031066

15-Feb-12 520.5 534.9 517.25 532.95 533.05 4844896

14-Feb-12 522.5 523.8 515.05 517.5 517.9 3278707

13-Feb-12 518.65 525 515.9 520.65 521.95 3653581

10-Feb-12 522.8 525.65 514 517 517.5 2878793

9-Feb-12 505.7 525.95 505.65 525 522.55 4340256

8-Feb-12 510.7 517.8 502.75 510.6 508.45 3465287

7-Feb-12 514 515.4 508 509.95 509.3 3018927

6-Feb-12 510 516 500 507.25 507.7 4359656

3-Feb-12 497.5 508 495.25 507.05 506.25 3728751

2-Feb-12 499 500 491.3 499 497.9 5710427

1-Feb-12 494.5 499.7 481.35 497 497.15 3005149

31-Jan-12 483.5 495 479.85 494.95 492.1 2663462

30-Jan-12 482.95 483 473 479.45 479.05 2493754

27-Jan-12 503.9 504 479.65 484 484.2 3719409

25-Jan-12 490.25 493 485.75 491 490.2 3704775

24-Jan-12 485.25 493.1 480.55 486 488.8 3765988

23-Jan-12 486 487.75 480.9 483.45 484 1883432

20-Jan-12 490 493.45 480.45 486.75 490.55 3597565

19-Jan-12 486 490.25 480.3 485 486.8 4210544

18-Jan-12 472.9 485.4 469.6 483.2 481.9 5034311

17-Jan-12 463.9 469 463 468.3 468.4 1830504

16-Jan-12 466.8 467.85 458.25 460.05 460.5 1595855

13-Jan-12 470 473.05 461.05 471 469.6 1845421

12-Jan-12 461.7 469.1 461.2 468.8 466.65 1993861

11-Jan-12 460.5 464 455 462.6 462.65 1929778

10-Jan-12 460 462.3 456 460.25 459.7 2245693

9-Jan-12 451.9 457.1 446 456.85 455.7 2115984

7-Jan-12 453 453.3 450 450.2 450.95 141272

6-Jan-12 441 457.15 438.95 455.5 453.3 1988611

5-Jan-12 444 446.7 440.3 444.5 443.65 1690303

4-Jan-12 441.9 444.95 430.85 442.1 443.3 2435739

3-Jan-12 431.4 440.9 430 439 439.15 1719619

2-Jan-12 428.9 429.8 419.5 427.15 426.85 1757499

Arithmetic

Mean539.861 545.879 533.974 540.355 540.441 2744228.979

S.D Values 45.78510074 45.42621241 46.30196053 45.70743633 45.7238112 1126922.227

Median 533.00 538.90 526.30 532.95 533.05 2682627.00

Max 634.85 638.90 626.15 637.00 636.90 6442805.00

Min 428.90 429.80 419.50 427.15 426.85 46322.00

Ist Quartile 509.90 517.15 502.43 508.48 508.60 2012156.00

3rd Quartile 585.28 589.10 579.18 586.50 585.55 3273339.00

Avg. Dev. 37.83 37.39 38.60 38.00 38.00 861475.77

Range 205.95 209.10 206.65 209.85 210.05 6396483.00

Quartile Dev. 37.69 35.98 38.38 39.01 38.48 630591.50

Coef. Of Var. 8.48 8.32 8.67 8.46 8.46 41.07

Coef. Of Q.D. 7.07 6.68 7.29 7.32 7.22 23.51

Coef. Of M.D. 7.01 6.85 7.23 7.03 7.03 31.39

Moment

Skewness 0.057 0.073 0.039 0.047 0.053 0.851

Turnover (in Rs.)

1255124000

1732488000

2501291000

1687473000

1849834000

2770010000

3652613000

1587206000

1525300000

3226201000

3917262000

508275000

954711000

930380000

893949000

34648000

1653764000

752519000

1801813000

851583000

1105315000

1861929000

3375511000

995836000

1311982000

601963000

1001997000

1412627000

1432750000

1233918000

1146433000

1223955000

1702589000

1271798000

2279024000

1491713000

1205696000

1683762000

1845163000

1451838000

998616000

1149386000

1229741000

1244138000

1956464000

2514649000

1272040000

761279000

875722000

608019000

707072000

1041376000

1244568000

1887173000

1395998000

1099894000

1810577000

1978371000

1100306000

2299400000

1216513000

1851709000

1220879000

1165768000

1771720000

1665086000

1643172000

795097000

866796000

834246000

1434408000

1271279000

1576798000

1506851000

1350562000

1165519000

1100982000

1536492000

1780222000

2599847000

2628769000

3240599000

1345243000

1393728000

1455924000

2395933000

1273536000

1340109000

1540389000

1398359000

1430836000

1543693000

1371545000

1070228000

1191640000

1455887000

2088417000

1003731000

1383575000

1035420000

1564931000

1932138000

1475069000

2192835000

1675019000

1897062000

1231248000

821168000

25179000

613996000

1269046000

1466017000

1187807000

1159199000

2173115000

2243072000

1612479000

2073184000

2296915000

1312039000

1607151000

976314000

758729000

658289000

549748000

1722637000

726298000

1450071000

2067257000

1116804000

1532342000

1252510000

1030456000

1449970000

1537838000

797980000

1911046000

1651456000

1927623000

1542177000

1452480000

1458619000

1218424000

962089000

1483051000

1281181000

40496000

1048223000

1559279000

2610089000

1933718000

2001084000

2147118000

2275175000

1856005000

1952495000

1873075000

1071936000

2554161000

1699652000

1909006000

1493894000

2246123000

1770444000

1544799000

2209710000

1872264000

2842414000

1473486000

1297512000

1189813000

1816633000

1811589000

1841510000

913001000

1748790000

2044837000

2401949000

855519000

735028000

861748000

928465000

886929000

1032104000

958241000

63759000

890463000

750824000

1069171000

749228000

744486000

1480412785

625663594.4

1434408000.00

3917262000.00

25179000.00

1069699500.00

1829071500.00

468956348.13

3892083000.00

379686000.00

42.26

26.47

31.68

1.126

Open Price High Price Low Price Last Traded Price Close Price Total Traded Quantity Turnover

Open Price 1

High Price 0.995172844 1

Low Price 0.994521591 0.995147889 1

Last Traded Price 0.987248184 0.99423935 0.994502678 1

Close Price 0.988682792 0.995450565 0.995729457 0.999523517 1

Total Traded Quantity-0.037846796 -0.005416219 -0.05236563 -0.020057836 -0.018335387 1

Turnover 0.152280913 0.185747371 0.139678582 0.171537877 0.173485192 0.977689729 1

SUMMARY OUTPUT

Regression Statistics

Multiple R 0.995172844

R Square 0.99036899

Adjusted R Square 0.990318032

Standard Error 4.469802659

Observations 191

ANOVA

df SS MS F Significance F

Regression 1 388296.7 388296.7 19435.10941 1.668E-192

Residual 189 3776.057 19.97914

Total 190 392072.7

CoefficientsStandard Error t Stat P-value Lower 95% Upper 95%Lower 95.0%Upper 95.0%

Intercept 12.83508564 3.837225 3.344887 0.000992744 5.265794825 20.40438 5.265795 20.40438

X Variable 1 0.987372142 0.007083 139.4099 1.668E-192 0.973401212 1.001343 0.973401 1.001343

Regression equation of high price on low price: y=0.987x+12.835

0

100

200

300

400

500

600

700

0 100 200 300 400 500 600 700

Hig

h P

rice

Open Price

High Price vs. Open Price

SUMMARY OUTPUT


Multiple R 0.995173

R Square 0.990369



Observations 191

ANOVA


Regression 1 394456.4 394456.4 19435.10941 1.668E-192

Residual 189 3835.958 20.29607

Total 190 398292.3


Intercept -7.674638 3.941027 -1.94737 0.052971984 -15.44868878 0.099413 -15.44869 0.099413

X Variable 1 1.003035 0.007195 139.4099 1.668E-192 0.98884262 1.017228 0.988843 1.017228

Regression Equation of open price on high price: x=1.003y-7.67

0

100

200

300

400

500

600

700

0 100 200 300 400 500 600 700

Op

en P

rice

(x)

High Price (Y)

Open Price vs. High Price

SUMMARY OUTPUT


Multiple R 0.994522

R Square 0.989073

Adjusted R Square0.989015

Standard Error4.852794

Observations 191

ANOVA


Regression 1 402884.7 402884.7 17107.91 2.5E-187

Residual 189 4450.876 23.54961

Total 190 407335.6


Intercept -8.99007 4.166014 -2.15796 0.032193 -17.2079 -0.77222 -17.2079 -0.77222

X Variable 1 1.005749 0.007689 130.7972 2.5E-187 0.990581 1.020917 0.990581 1.020917

Regression Equation of Low Price on Open Price: y=1.01x-8.99

0

100

200

300

400

500

600

700

0 100 200 300 400 500 600 700

Low

Pri

ce

Open Price

Low Price vs. Open Price

SUMMARY OUTPUT


Multiple R 0.994522

R Square 0.989073



Observations 191

ANOVA


Regression 1 393940.3 393940.3 17107.91 2.5E-187

Residual 189 4352.063 23.02679

Total 190 398292.3


Intercept 14.73997 4.029756 3.657782 0.00033 6.790894 22.68905 6.790894 22.68905

X Variable 1 0.98342 0.007519 130.7972 2.5E-187 0.968589 0.998251 0.968589 0.998251

Regression Equation of Open Price (x) on Low Price (y): x=0.983y+14.74

0

100

200

300

400

500

600

700

0 100 200 300 400 500 600 700

Op

en P

rice

(x)

Low Price (y)

Open Price Vs. Low Price

SUMMARY OUTPUT


Multiple R 0.987248

R Square 0.974659



Observations 191

ANOVA


Regression 1 386883.3 386883.3 7269.262 8.5E-153

Residual 189 10058.92 53.22181

Total 190 396942.2


Intercept 8.282786 6.262875 1.322521 0.187593 -4.07133 20.6369 -4.07133 20.6369

X Variable 1 0.985574 0.01156 85.25997 8.5E-153 0.962771 1.008376 0.962771 1.008376

Regression Equation of Last Traded Price on Open Price: y=0.99x+8.28

0

100

200

300

400

500

600

700

0 100 200 300 400 500 600 700

Last

Tra

din

g P

rice

Open Price

Last Trading Price Vs. Open Price

SUMMARY OUTPUT


Multiple R 0.987248

R Square 0.974659



Observations 191

ANOVA


Regression 1 388199.2 388199.2 7269.262 8.5E-153

Residual 189 10093.14 53.40283

Total 190 398292.3


Intercept 5.489564 6.289816 0.87277 0.383896 -6.9177 17.89682 -6.9177 17.89682

X Variable 1 0.988926 0.011599 85.25997 8.5E-153 0.966046 1.011806 0.966046 1.011806

Regression Equation of Open Price (x) on LTP(y) x=0.989y+5.49

0

100

200

300

400

500

600

700

0 100 200 300 400 500 600 700

Op

en

Pri

ce (

x)

Last Traded Price (y)

Open Price Vs. Last Traded Price

SUMMARY OUTPUT


Multiple R 0.988683

R Square 0.977494



Observations 191

ANOVA


Regression 1 388286.6 388286.6 8208.635 1.2E-157

Residual 189 8940.118 47.30221

Total 190 397226.7


Intercept 7.404057 5.904316 1.254007 0.211388 -4.24277 19.05088 -4.24277 19.05088

X Variable 1 0.987359 0.010898 90.60152 1.2E-157 0.965862 1.008856 0.965862 1.008856

Regression Equation of Close Price on Open Price y=0.99x+7.4

0

100

200

300

400

500

600

700

0 100 200 300 400 500 600 700

Clo

se P

rice

Open Price

Close Price vs. Open Price

SUMMARY OUTPUT


Multiple R 0.988683

R Square 0.977494



Observations 191

ANOVA


Regression 1 389328.2 389328.2 8208.635 1.2E-157

Residual 189 8964.101 47.42911

Total 190 398292.3


Intercept 4.820211 5.926413 0.813344 0.417044 -6.8702 16.51062 -6.8702 16.51062

X Variable 1 0.990008 0.010927 90.60152 1.2E-157 0.968453 1.011563 0.968453 1.011563

Regression Equation of Open Price (x) on Close Price (y) x=0.99y+4.82

0

100

200

300

400

500

600

700

0 100 200 300 400 500 600 700

Op

en

Pri

ce (

x)

Close Price (y)

Open Price Vs. Close Price

SUMMARY OUTPUT


Multiple R 0.995148

R Square 0.990319



Observations 191

ANOVA


Regression 1 403392.3 403392.3 19334.42317 2.7122E-192

Residual 189 3943.285 20.86394

Total 190 407335.6


Intercept -19.72843 3.995781 -4.937316 1.73483E-06 -27.61048758 -11.84637 -27.61049 -11.84637

X Variable 1 1.014333 0.007295 139.0483 2.7122E-192 0.999943088 1.028723 0.999943 1.028723

Regression Equation of Low Price on High Price y=1.01x-19.73

0

100

200

300

400

500

600

700

0 100 200 300 400 500 600 700

Low

Pri

ce

High Price

Low Price Vs. High Price

SUMMARY OUTPUT


Multiple R 0.995148

R Square 0.990319



Observations 191

ANOVA


Regression 1 388277.2 388277.2 19334.42 2.7E-192

Residual 189 3795.531 20.08217

Total 190 392072.7


Intercept 24.54585 3.763288 6.522448 6.16E-10 17.12241 31.96929 17.12241 31.96929

X Variable 1 0.976326 0.007021 139.0483 2.7E-192 0.962475 0.990176 0.962475 0.990176

Regression Equation of High Price (x) on Low Price (y) x=0.976y+24.55

0

100

200

300

400

500

600

700

0 100 200 300 400 500 600 700

Hig

h P

rice

(x)

Low Price (y)

High Price Vs. Low Price

SUMMARY OUTPUT


Multiple R 0.994239

R Square 0.988512



Observations 191

ANOVA


Regression 1 392382.1 392382.1 16262.78662 2.9E-185

Residual 189 4560.118 24.12761

Total 190 396942.2


Intercept -5.738633 4.296953 -1.335512 0.183314891 -14.21478 2.737515 -14.21478 2.737515

X Variable 1 1.000394 0.007845 127.5256 2.8782E-185 0.98492 1.015869 0.98492 1.015869

Regression Equation of LTP on High Price y=1x-5.74

0

100

200

300

400

500

600

700

0 100 200 300 400 500 600 700

Last

Tra

ded

Pri

ce

High Price

LTP vs. High Price

SUMMARY OUTPUT


Multiple R 0.994239

R Square 0.988512



Observations 191

ANOVA


Regression 1 387568.6 387568.6 16262.79 2.9E-185

Residual 189 4504.176 23.83162

Total 190 392072.7


Intercept 11.94158 4.201773 2.842035 0.004975 3.653188 20.22998 3.653188 20.22998

X Variable 1 0.988122 0.007748 127.5256 2.9E-185 0.972838 1.003407 0.972838 1.003407

Regression Equation of High Price(x) on LTP(y) x=0.9881y+11.94

0

100

200

300

400

500

600

700

0 100 200 300 400 500 600 700

Hig

h P

rice

Last Traded Price

High Price vs. Last Traded Price

SUMMARY OUTPUT


Multiple R 0.995451

R Square 0.990922



Observations 191

ANOVA


Regression 1 393620.6 393620.6 20630.17 6.3E-195

Residual 189 3606.093 19.07985

Total 190 397226.7


Intercept -6.51444 3.821123 -1.70485 0.089866 -14.052 1.023087 -14.052 1.023087

X Variable 1 1.001972 0.006976 143.6321 6.3E-195 0.988211 1.015733 0.988211 1.015733

Regression Equation of Close Price on High Price y=1x-6.51

0

100

200

300

400

500

600

700

0 100 200 300 400 500 600 700

Clo

se P

rice

High Price

Close Price Vs. High Price

SUMMARY OUTPUT


Multiple R 0.995451

R Square 0.990922



Observations 191

ANOVA


Regression 1 388513.4 388513.4 20630.17 6.3E-195

Residual 189 3559.304 18.8323

Total 190 392072.7


Intercept 11.39818 3.734402 3.052209 0.002599 4.031713 18.76464 4.031713 18.76464

X Variable 1 0.988972 0.006885 143.6321 6.3E-195 0.975389 1.002554 0.975389 1.002554

Regression Equation of High Price (x) on Close Price (y): x=0.989y+11.4

0

100

200

300

400

500

600

700

0 100 200 300 400 500 600 700

Hig

h P

rice

(x)

Close Price (y)

High Price vs. Close Price

SUMMARY OUTPUT


Multiple R 0.994503

R Square 0.989036



Observations 191

ANOVA


Regression 1 392590 392590 17048.57 3.5E-187

Residual 189 4352.243 23.02774

Total 190 396942.2


Intercept 16.1352 4.02984 4.00393 8.94E-05 8.185954 24.08444 8.185954 24.08444

X Variable 1 0.981733 0.007519 130.5702 3.5E-187 0.966902 0.996565 0.966902 0.996565

Regression Equation of LTP on Low Price y=0.98x+16.14

0

100

200

300

400

500

600

700

0 100 200 300 400 500 600 700

Last

Tra

de

d P

rice

Low Price

LTP vs. Low Price

SUMMARY OUTPUT


Multiple R 0.994503

R Square 0.989036



Observations 191

ANOVA


Regression 1 402869.4 402869.4 17048.57 3.5E-187

Residual 189 4466.2 23.63069

Total 190 407335.6


Intercept -10.4005 4.184022 -2.48577 0.013795 -18.6539 -2.14712 -18.6539 -2.14712

X Variable 1 1.007438 0.007716 130.5702 3.5E-187 0.992218 1.022658 0.992218 1.022658

Regression Equation of Low Price (x) on LTP (y) x=1.007y-10.4

0

100

200

300

400

500

600

700

0 100 200 300 400 500 600 700

Low

Pri

ce (

x)

Last Traded Price (y)

Low Price Vs. Last Traded Price

SUMMARY OUTPUT


Multiple R 0.995729

R Square 0.991477



Observations 191

ANOVA


Regression 1 393841.2 393841.2 21986.68 1.6E-197

Residual 189 3385.503 17.91272

Total 190 397226.7


Intercept 15.38584 3.554208 4.328909 2.43E-05 8.374831 22.39686 8.374831 22.39686

X Variable 1 0.983296 0.006631 148.2791 1.6E-197 0.970215 0.996377 0.970215 0.996377

Regression Equation of Close Price on Low Price y=0.98x+15.39

0

100

200

300

400

500

600

700

0 200 400 600 800

Clo

se P

rice

Low Price

Close Price Vs. Low Price

Close Price Vs. Low Price

SUMMARY OUTPUT


Multiple R 0.995729

R Square 0.991477



Observations 191

ANOVA


Regression 1 403863.9 403863.9 21986.68 1.6E-197

Residual 189 3471.66 18.36857

Total 190 407335.6


Intercept -10.9629 3.688138 -2.97247 0.003339 -18.2381 -3.68767 -18.2381 -3.68767

X Variable 1 1.00832 0.0068 148.2791 1.6E-197 0.994906 1.021734 0.994906 1.021734

Regression Equation of Low Price (x) on Close Price (y) x=1.008y-10.96

0

100

200

300

400

500

600

700

0 100 200 300 400 500 600 700

Low

Pri

ce (

x)

Close Price (y)

Low Price vs. Close Price

SUMMARY OUTPUT


Multiple R 0.999524

R Square 0.999047



Observations 191

ANOVA


Regression 1 396848.3 396848.3 198186.4 1.9E-287

Residual 189 378.4534 2.002399

Total 190 397226.7


Intercept 0.149318 1.217955 0.122598 0.902556 -2.25321 2.551849 -2.25321 2.551849

X Variable 1 0.999882 0.002246 445.1813 1.9E-287 0.995451 1.004312 0.995451 1.004312

Regression Equation of Close Price on Last Traded Price y=1x+0.15

0

100

200

300

400

500

600

700

0 100 200 300 400 500 600 700

Clo

se P

rice

Last Traded Price

Close Price vs. Last Traded Price

SUMMARY OUTPUT


Multiple R 0.999524

R Square 0.999047



Observations 191

ANOVA


Regression 1 396564.1 396564.1 198186.4171 1.8896E-287

Residual 189 378.1824 2.000965

Total 190 396942.2


Intercept 0.365624 1.217276 0.300362 0.764230948 -2.035569329 2.766817 -2.035569 2.766817

X Variable 1 0.999166 0.002244 445.1813 1.8896E-287 0.994738267 1.003593 0.994738 1.003593

Regression Equation of LTP on Close Price x=0.999y+0.37

0

100

200

300

400

500

600

700

0 100 200 300 400 500 600 700

Last

Tra

de

d P

rice

(x)

Close Price (y)

Last Traded Price Vs. Close Price

SUMMARY OUTPUT


Multiple R 0.97769

R Square 0.955877



Observations 191

ANOVA


Regression 1 2.31E+14 2.31E+14 4094.5 4.9E-130

Residual 189 1.06E+13 5.63E+10

Total 190 2.41E+14


Intercept 137253.5 44213 3.104371 0.0022 50039.2 224467.9 50039.2 224467.9

X Variable 1 0.001761 2.75E-05 63.98828 4.9E-130 0.001707 0.001815 0.001707 0.001815

Regression Equation of Turn Over on Total Traded Quantity y=0.002x+137253.54

0

500000000

1E+09

1.5E+09

2E+09

2.5E+09

3E+09

3.5E+09

4E+09

4.5E+09

0 1000000 2000000 3000000 4000000 5000000 6000000 7000000

Turn

ove

r

Total Traded Quantity

Turn over Vs. Total Traded Quantity

SUMMARY OUTPUT


Multiple R 0.97769

R Square 0.955877


Standard Error1.32E+08

Observations 191

ANOVA


Regression 1 7.11E+19 7.11E+19 4094.5 4.9E-130

Residual 189 3.28E+18 1.74E+16

Total 190 7.44E+19


Intercept -9182674 25156092 -0.36503 0.715499 -5.9E+07 40440108 -5.9E+07 40440108

X Variable 1 542.8102 8.482962 63.98828 4.9E-130 526.0767 559.5436 526.0767 559.5436

Regression Equation of Total Traded Quantity (x) on Turnover (y) x=542.81y-9182673.85

0

1000000

2000000

3000000

4000000

5000000

6000000

7000000

0 1E+09 2E+09 3E+09 4E+09 5E+09

Tota

l Tra

de

d Q

uan

tity

(x)

Turnover (y)

Total Traded Quantity vs. Turnover

hdfc 12 12

Documents

close price

low price

high price

dateopen price

last traded price

total traded quantity