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
539.861 545.879 533.974 540.355 540.441 2744228.979
Mean
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

High Price vs. Open Price
700
600
500
High Price

400
300
200
100
0
0 100 200 300 400 500 600 700
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

Coefficients
Standard Error t Stat P-value Lower 95% Upper 95%Lower 95.0%Upper 95.0%
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

Open Price vs. High Price
700
600
Open Price (x)

500
400
300
200
100
0
0 100 200 300 400 500 600 700
High Price (Y)

SUMMARY OUTPUT

Multiple R 0.994522
R Square 0.989073
Adjusted R Square
0.989015
Standard Error
4.852794
Observations 191

ANOVA
Regression 1 402884.7 402884.7 17107.91 2.5E-187
Residual 189 4450.876 23.54961
Total 190 407335.6

Coefficients
Standard Error t Stat P-value Lower 95% Upper 95%Lower 95.0%
Upper 95.0%
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

Low Price vs. Open Price
700
600
500
Low Price

400
300
200
100
0
0 100 200 300 400 500 600 700
Open Price

SUMMARY OUTPUT

Multiple R 0.994522
R Square 0.989073
Adjusted R Square
0.989015
Standard Error
4.798623

Observations 191

ANOVA
Regression 1 393940.3 393940.3 17107.91 2.5E-187
Residual 189 4352.063 23.02679
Total 190 398292.3

Coefficients
Upper 95.0%
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

Open Price Vs. Low Price
700
600
500
Open Price (x)

400
300
200
100
0
0 100 200 300 400 500 600 700
Low Price (y)

SUMMARY OUTPUT

Multiple R 0.987248
R Square 0.974659
Adjusted R Square
0.974525
Standard Error
7.295328
Observations 191

ANOVA
Regression 1 386883.3 386883.3 7269.262 8.5E-153
Residual 189 10058.92 53.22181
Total 190 396942.2

Coefficients
Upper 95.0%
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

Last Trading Price Vs. Open Price
700
600
Last Trading Price

500
400
300
200
100
0
0 100 200 300 400 500 600 700
Open Price

SUMMARY OUTPUT

Multiple R 0.987248
R Square 0.974659
Adjusted R Square
0.974525
Standard Error
7.307724
Observations 191

ANOVA
Regression 1 388199.2 388199.2 7269.262 8.5E-153
Residual 189 10093.14 53.40283
Total 190 398292.3

Coefficients
Upper 95.0%
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

Open Price Vs. Last Traded Price
700
600
Open Price (x)

500
400
300
200
100
0
0 100 200 300 400 500 600 700
Last Traded Price (y)

SUMMARY OUTPUT

Multiple R 0.988683
R Square 0.977494
Adjusted R Square
0.977375
Standard Error .87766
6
Observations 191

ANOVA
Regression 1 388286.6 388286.6 8208.635 1.2E-157
Residual 189 8940.118 47.30221
Total 190 397226.7

Coefficients
Upper 95.0%
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

Close Price vs. Open Price
700
600
500
Close Price

400
300
200
100
0
0 100 200 300 400 500 600 700
Open Price

SUMMARY OUTPUT

Multiple R 0.988683
R Square 0.977494
Adjusted R Square
0.977375
Standard Error
6.886879
Observations 191

ANOVA
Regression 1 389328.2 389328.2 8208.635 1.2E-157
Residual 189 8964.101 47.42911
Total 190 398292.3

Coefficients
Upper 95.0%
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

Open Price Vs. Close Price
700
600
500
Open Price (x)

400
300
200
100
0
0 100 200 300 400 500 600 700
Close Price (y)

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

Coefficients
Standard Error t Stat P-value Lower 95% Upper 95%Lower 95.0%Upper 95.0%
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

Low Price Vs. High Price
700
600
500
Low Price

400
300
200
100
0
0 100 200 300 400 500 600 700
High Price

SUMMARY OUTPUT

Multiple R 0.995148
R Square 0.990319
Adjusted R Square
0.990268
Standard Error
4.481314
Observations 191

ANOVA
Regression 1 388277.2 388277.2 19334.42 2.7E-192
Residual 189 3795.531 20.08217
Total 190 392072.7

Coefficients
Upper 95.0%
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

High Price Vs. Low Price
700
600
500
High Price (x)

400
300
200
100
0
0 100 200 300 400 500 600 700
Low Price (y)

SUMMARY OUTPUT

Multiple R 0.994239
R Square 0.988512
Adjusted R Square
0.988451
Standard Error
4.911986
Observations 191

ANOVA
Regression 1 392382.1 392382.1 16262.78662 2.9E-185
Residual 189 4560.118 24.12761
Total 190 396942.2

Coefficients
Upper 95.0%
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

LTP vs. High Price
700
600
Last Traded Price

500
400
300
200
100
0
0 100 200 300 400 500 600 700
High Price

SUMMARY OUTPUT

Multiple R 0.994239
R Square 0.988512
Adjusted R Square
0.988451
Standard Error
4.881764
Observations 191

ANOVA
Regression 1 387568.6 387568.6 16262.79 2.9E-185
Residual 189 4504.176 23.83162
Total 190 392072.7

Coefficients
Upper 95.0%
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

High Price vs. Last Traded Price
700
600
500
High Price

400
300
200
100
0
0 100 200 300 400 500 600 700
Last Traded Price

SUMMARY OUTPUT

Multiple R 0.995451
R Square 0.990922
Adjusted R Square
0.990874
Standard Error
4.368049
Observations 191

ANOVA
Regression 1 393620.6 393620.6 20630.17 6.3E-195
Residual 189 3606.093 19.07985
Total 190 397226.7

Coefficients
Upper 95.0%
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

Close Price Vs. High Price
700
600
500
Close Price

400
300
200
100
0
0 100 200 300 400 500 600 700
High Price

SUMMARY OUTPUT

Multiple R 0.995451
R Square 0.990922
Adjusted R Square
0.990874
Standard Error
4.339619
Observations 191

ANOVA
Regression 1 388513.4 388513.4 20630.17 6.3E-195
Residual 189 3559.304 18.8323
Total 190 392072.7

Coefficients
Upper 95.0%
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

High Price vs. Close Price
700
600
500
High Price (x)

400
300
200
100
0
0 100 200 300 400 500 600 700
Close Price (y)

SUMMARY OUTPUT

Multiple R 0.994503
R Square 0.989036
Adjusted R Square
0.988978
Standard Error
4.798723
Observations 191

ANOVA
Regression 1 392590 392590 17048.57 3.5E-187
Residual 189 4352.243 23.02774
Total 190 396942.2

Coefficients
Upper 95.0%
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

LTP vs. Low Price
700
600
Last Traded Price

500
400
300
200
100
0
0 100 200 300 400 500 600 700
Low Price

SUMMARY OUTPUT

Multiple R 0.994503
R Square 0.989036
Adjusted R Square
0.988978
Standard Error .86114
4
Observations 191

ANOVA
Regression 1 402869.4 402869.4 17048.57 3.5E-187
Residual 189 4466.2 23.63069
Total 190 407335.6

Coefficients
Upper 95.0%
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

Low Price Vs. Last Traded Price
700
600
500
Low Price (x)

400
300
200
100
0
0 100 200 300 400 500 600 700
Last Traded Price (y)

SUMMARY OUTPUT

Multiple R 0.995729
R Square 0.991477
Adjusted R Square
0.991432
Standard Error
4.232342
Observations 191

ANOVA
Regression 1 393841.2 393841.2 21986.68 1.6E-197
Residual 189 3385.503 17.91272
Total 190 397226.7

Coefficients
Upper 95.0%
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

Close Price Vs. Low Price
700
600
500
Close Price

400
300
Close Price Vs. Low Price
200
100
0
0 200 400 600 800
Low Price

SUMMARY OUTPUT

Multiple R 0.995729
R Square 0.991477
Adjusted R Square
0.991432
Standard Error
4.285857
Observations 191

ANOVA
Regression 1 403863.9 403863.9 21986.68 1.6E-197
Residual 189 3471.66 18.36857
Total 190 407335.6

Coefficients
Upper 95.0%
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

Low Price vs. Close Price
700
600
500
Low Price (x)

400
300
200
100
0
0 100 200 300 400 500 600 700
Close Price (y)

SUMMARY OUTPUT

Multiple R 0.999524
R Square 0.999047
Adjusted R Square
0.999042
Standard Error
1.415061
Observations 191

ANOVA
Regression 1 396848.3 396848.3 198186.4 1.9E-287
Residual 189 378.4534 2.002399
Total 190 397226.7

Coefficients
Upper 95.0%
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

Close Price vs. Last Traded Price
700
600
500
Close Price

400
300
200
100
0
0 100 200 300 400 500 600 700
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

Coefficients
Upper 95.0%
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

Last Traded Price Vs. Close Price
700
600
Last Traded Price (x)

500
400
300
200
100
0
0 100 200 300 400 500 600 700
Close Price (y)

SUMMARY OUTPUT

Multiple R 0.97769
R Square 0.955877
Adjusted R Square
0.955644
Standard Error
237340.2
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

Coefficients
Upper 95.0%
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

Turn over Vs. Total Traded Quantity
4.5E+09
4E+09
3.5E+09
3E+09
Turnover

2.5E+09
2E+09
1.5E+09
1E+09
500000000
0
0 1000000 2000000 3000000 4000000 5000000 6000000 7000000
Total Traded Quantity

SUMMARY OUTPUT

Multiple R 0.97769
R Square 0.955877
Adjusted R Square
0.955644
Standard Error
1.32E+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

Coefficients
Upper 95.0%
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

Total Traded Quantity vs. Turnover
7000000
Total Traded Quantity (x)

6000000
5000000
4000000
3000000
2000000
1000000
0
0 1E+09 2E+09 3E+09 4E+09 5E+09
Turnover (y)

Hdfc 12 12

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