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  • 8/14/2019 ch 4 PARTIAL CORRELATION (1).doc

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    Chapter#4 PARTIAL CORRWELATION

    Chapter#4

    PARTIAL CORRELATION

    Definition:

    Its measure the degree of linear relationship between any two variables in a

    multivariable problem under the condition that any common relationship or influence with all

    other variables (or some of them) has been removed. Started differently, if there are three

    variables x1, x2 and x , then the correlation between x1 and x2 after removing the linear

    effect of x from x1 and from x2, is the partial correlation. !he sample coefficient of partial

    correlation measuring the strength of the relationship (correlation) between x1 and x2, when

    the influence of x has been removed, is denoted symbolically by r 12. . "y removing the

    influence.

    It is calculated as:

    r 12.3 =D^- 11.2 D^-

    Where, r=Correlation Coefficient, R= artial Correlation Coefficient.

    11.2 = 11- 12 22^ -1 21

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    Chapter#4 PARTIAL CORRWELATION

    For Karachi

    S.#$%$&"I#'!I$#$%$&&$ I!I*S

    r $ + - - $ + - r $ /S - $$00'-

    +-I%*S1 heat vs -ice .344 .355 .31 .4242 heat vs &oong .366 .31 .537 .7 8

    heat vs +ulse .36 .3 3 .457 .5758 heat vs &utton .423 .744 .463 . 826 heat vs "eef .35 .387 .7 4 .8 57 heat vs ish .36 .3 .618 .2765 heat vs &il9 .352 .386 .463 .5 34 heat vs :hee .375 .3 7 .116 . 13 heat vs Sugar .358 .36 .2 6 . 661 -ice vs &oong .362 .3 7 .48 .511

    11 -ice vs +ulse .378 .323 .43 .5312 -ice vs &utton .422 .756 . 62 .1281 -ice vs "eef .35 .382 .583 .67118 -ice vs ish .372 .327 .788 .81616 -ice vs &il9 .358 .384 .322 .4617 -ice vs :hee .351 .38 .257 . 5715 -ice vs Sugar .341 .37 .8 .1714 &oong vs +ulse .371 .32 .453 .5513 &oong vs &utton .427 .74 .788 .8822 &oong vs "eef .34 .374 .3 5 .4221 &oong vs ish .375 .3 6 .451 .56322 &oong vs &il9 .342 .378 .3 1 .4742 &oong vs :hee .35 .384 .718 . 5528 &oong vs Sugar .378 .3 .745 .8526 +ulse vs &utton .418 .778 .8 2 .17227 +ulse vs "eef .378 .323 .53 .72825 +ulse vs ish .34 .377 .5 2 .8324 +ulse vs &il9 .342 .376 .452 .57223 +ulse vs :hee .373 .3 3 . 16 . 33

    +ulse vs Sugar .34 .375 .824 .141 &utton vs "eef .461 .5 6 .412 .763

    2 &utton vs ish .4 .738 .453 .558&utton vs &il9 .4 1 .731 .688 .237

    8 &utton vs :hee .483 .521 .378 .3236 &utton vs sugar .4 5 .5 1 .362 .3 57 "eef vs ish .342 .371 .34 .3715 "eef vs &il9 .344 .355 .45 .5644 "eef vs :hee .338 .343 .54 .7 43 "eef vs Sugar .342 .378 .476 .583

    8 ish vs &il9 .344 .357 .533 .7 381 ish vs :hee .343 .354 .45 .572

    82 ish vs Sugar .451 .358 .326 .4658 :hee vs Sugar .343 .354 .352 .386

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    Chapter#4 PARTIAL CORRWELATION

    For Lahore

    S.#$%$&"I#'!I$#$%$&&$ I!I*S

    r $ + - - $ + - r $ /S - $$00'-

    +-I%*S1 heat vs -ice .35 .356 .311 .432 heat vs &oong .382 .317 .756 .543

    heat vs +ulse .36 .3 .468 .5758 heat vs &utton .4 .786 .454 .6 heat vs "eef .547 .375 .675 .6257 heat vs ish .36 .362 .611 .2275 heat vs &il9 .48 .343 .4 4 .5344 heat vs :hee .53 .3 7 .111 . 13 heat vs Sugar .538 .36 . 26 . 661 -ice vs &oong .263 .3 7 .543 .577

    11 -ice vs +ulse .382 .324 .444 .54312 -ice vs &utton .566 .356 . 67 .1751 -ice vs "eef .4 4 .382 .755 .66618 -ice vs ish .723 .327 .788 .88316 -ice vs &il9 .674 .362 .366 .4617 -ice vs :hee .543 .354 .256 . 5715 -ice vs Sugar .668 .367 . .1714 &oong vs +ulse .546 .312 .443 .57513 &oong vs &utton .754 .754 .636 .862 &oong vs "eef .4 3 .374 .453 .42421 &oong vs ish .424 .312 .443 .5322 &oong vs &il9 .345 .375 .326 .4662 &oong vs :hee .35 .343 .767 . 5328 &oong vs Sugar .362 .367 .743 .86726 +ulse vs &utton .418 .73 .8 2 .2627 +ulse vs "eef .3 3 .375 .537 .6 725 +ulse vs ish .346 .368 .566 .85424 +ulse vs &il9 .347 .375 .43 .4523 +ulse vs :hee .353 .33 . 75 .126

    +ulse vs Sugar .354 .367 .686 .141 &utton vs "eef .46 .53 .73 .576

    2 &utton vs ish .422 .7 4 .465 .53&utton vs &il9 .4 .775 .682 .216

    8 &utton vs :hee .4 4 .567 .335 .3436 &utton vs sugar .475 .524 .375 .3677 "eef vs ish .322 .343 .354 .3435 "eef vs &il9 .344 .35 .463 .5644 "eef vs :hee .338 .346 .544 .73 "eef vs Sugar .346 .374 .475 .572

    8 ish vs &il9 .343 .375 .5 6 .64581 ish vs :hee .35 .35 .466 . 82

    82 ish vs Sugar .451 .33 .343 .5438 :hee vs Sugar .376 .354 .3 3 .367

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    Chapter#4 PARTIAL CORRWELATION

    For Sialkot

    S.#$%$&"I#'!I$#$%$&&$ I!I*S

    r $ + - - $ + - r $ /S - $$00'-

    +-I%*S1 heat vs -ice .332 .342 .361 .4322 heat vs &oong .328 .35 .526 .214

    heat vs +ulse .383 .421 .5 5 .8 48 heat vs &utton .376 .456 .427 .656 heat vs "eef .361 .341 .516 .8577 heat vs ish .366 .461 .511 .2 75 heat vs &il9 .32 .736 .654 .7434 heat vs :hee .341 .3 7 .866 .5863 heat vs Sugar .344 .364 .311 .6131 -ice vs &oong .342 .381 .433 .634

    11 -ice vs +ulse .364 .356 .774 .412 -ice vs &utton .365 .371 .747 .5 11 -ice vs "eef .35 .46 .7 4 .13318 -ice vs ish .436 .431 .75 .6 416 -ice vs &il9 .457 .374 .321 .64417 -ice vs :hee .643 .313 .73 .68515 -ice vs Sugar .63 .771 .413 .84214 &oong vs +ulse .573 .46 .5 3 .22413 &oong vs &utton .354 .475 .5 4 .5272 &oong vs "eef .421 .422 .871 .56721 &oong vs ish .453 .45 .411 .4 122 &oong vs &il9 .373 .782 .446 .7362 &oong vs :hee .353 .382 .445 .65328 &oong vs Sugar .353 .323 .31 .57126 +ulse vs &utton .424 .377 .747 . 7227 +ulse vs "eef .353 .384 . 76 .6225 +ulse vs ish .367 .425 .521 .83324 +ulse vs &il9 .383 .456 .453 . 5623 +ulse vs :hee .333 .351 . 7 .2 6

    +ulse vs Sugar .364 .3 2 .7 4 .2451 &utton vs "eef .43 .616 .752 .213

    2 &utton vs ish .465 .425 .633 .164&utton vs &il9 .447 .5 7 .515 . 64

    8 &utton vs :hee .4 .633 .516 .1316 &utton vs sugar .454 .524 .5 8 .8 67 "eef vs ish .375 .515 .64 . 155 "eef vs &il9 .34 .516 .773 .2584 "eef vs :hee .353 .5 8 .576 .8823 "eef vs Sugar .362 .5 5 .761 .685

    8 ish vs &il9 .343 .726 .7 6 .25181 ish vs :hee .35 .761 .4 7 . 6

    82 ish vs Sugar .475 .41 .478 .7658 :hee vs Sugar .345 .571 .578 .848

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    Chapter#4 PARTIAL CORRWELATION

    For Rawalpindi

    S.#$%$&"I#'!I$#$%$&&$ I!I*S

    r $ + - - $ + - r $ /S - $$00'-

    +-I%*S1 heat vs -ice .354 .3 4 .544 .7722 heat vs &oong .358 .447 .541 .275

    heat vs +ulse .354 .4 .548 . 438 heat vs &utton .372 .4423 .5 8 .6786 heat vs "eef .371 .344 .586 .8267 heat vs ish .3 6 .488 .736 . 665 heat vs &il9 .3 3 .418 .667 .7624 heat vs :hee .372 .548 .866 .5543 heat vs Sugar .344 .481 .343 .6681 -ice vs &oong .352 .657 .416 .645

    11 -ice vs +ulse .3 3 .3 7 .727 .44712 -ice vs &utton .3 1 .463 .743 .5671 -ice vs "eef .365 .522 .735 .11318 -ice vs ish .312 .325 .775 .21616 -ice vs &il9 .3 7 .437 .674 .6717 -ice vs :hee .355 .652 .733 .68515 -ice vs Sugar .314 .52 .415 .88814 &oong vs +ulse .387 .551 .557 .26613 &oong vs &utton .364 .537 .5 6 .5122 &oong vs "eef .386 .75 .674 .53421 &oong vs ish .43 .7 7 .4 5 .62622 &oong vs &il9 .3 7 .43 .645 .6162 &oong vs :hee .358 .3 5 .543 .628 &oong vs Sugar .357 .524 .332 .54326 +ulse vs &utton .412 .365 .634 .26427 +ulse vs "eef .543 .348 .753 . 7525 +ulse vs ish .336 .546 .558 . 2624 +ulse vs &il9 .375 .412 .543 .75823 +ulse vs :hee .412 .575 .674 .21

    +ulse vs Sugar .468 .554 .41 .2641 &utton vs "eef .438 .435 .776 .866

    2 &utton vs ish .375 .756 .636 .574&utton vs &il9 .351 .345 .556 . 75

    8 &utton vs :hee .442 .68 .514 .2146 &utton vs sugar .456 .345 .557 .8677 "eef vs ish .568 .755 .644 . 675 "eef vs &il9 .551 .756 .757 .2584 "eef vs :hee .345 .743 .526 .8673 "eef vs Sugar .368 .54 .675 .758

    8 ish vs &il9 .356 .743 .572 . 1481 ish vs :hee .345 .433 .541 . 54

    82 ish vs Sugar .435 .415 .557 .7548 :hee vs Sugar .375 .552 .762 .847

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  • 8/14/2019 ch 4 PARTIAL CORRELATION (1).doc

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    Chapter#4 PARTIAL CORRWELATION

    For Peshawar

    S.#$%$&"I#'!I$#$%$&&$ I!I*S

    r $ + - - $ + - r $ /S - $$00'-

    +-I%*S1 heat vs -ice .366 .44 .511 .7142 heat vs &oong .35 .3 4 .56 .5 1

    heat vs +ulse .353 .313 .547 . 268 heat vs &utton .33 .375 .471 .6676 heat vs "eef .363 .311 .766 .8237 heat vs ish .48 .442 .75 .5 heat vs &il9 .347 .488 .673 .8164 heat vs :hee .434 .448 .8 4 .5433 heat vs Sugar .486 .3 2 .375 .6 61 -ice vs &oong .3 7 .364 .458 .675

    11 -ice vs +ulse .445 .438 .734 .5812 -ice vs &utton .543 .43 .744 .5 51 -ice vs "eef .486 .475 .475 .21618 -ice vs ish .373 .367 .476 .22616 -ice vs &il9 .344 .546 .5 1 .66317 -ice vs :hee .345 .475 .55 .63415 -ice vs Sugar .355 .527 .443 .54214 &oong vs +ulse .467 .586 .567 .13413 &oong vs &utton .416 .536 .543 .2572 &oong vs "eef .543 .776 .754 .75621 &oong vs ish .557 .712 .414 .62722 &oong vs &il9 .515 .486 .643 .6622 &oong vs :hee .445 .345 .546 .64328 &oong vs Sugar .743 .547 .341 .57626 +ulse vs &utton .345 .345 .418 .26627 +ulse vs "eef .368 .675 .665 . 5425 +ulse vs ish .345 .544 .54 . 1224 +ulse vs &il9 .36 .447 .547 .8623 +ulse vs :hee .434 .543 .667 .28

    +ulse vs Sugar .466 .575 .475 .8751 &utton vs "eef .574 .475 .727 .865

    2 &utton vs ish .355 .414 .675 .545&utton vs &il9 .351 .343 .558 .436

    8 &utton vs :hee .475 .686 .5 2 .2576 &utton vs sugar .453 .322 .534 .8457 "eef vs ish .547 .757 .667 . 345 "eef vs &il9 .43 .435 .786 .2764 "eef vs :hee .346 .754 .545 .8543 "eef vs Sugar .343 .575 .662 .767

    8 ish vs &il9 .355 .776 .534 . 6881 ish vs :hee .343 .466 .452 . 43

    82 ish vs Sugar .454 .454 .575 .7578 :hee vs Sugar .33 .566 .775 .868

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  • 8/14/2019 ch 4 PARTIAL CORRELATION (1).doc

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    Chapter#4 PARTIAL CORRWELATION

    Conclusion on Correlation and Partial Correlation on PKR:

    It can observed that all commodities have high coefficient of correlation but when we find

    partial correlation and the controlled variable is year then by fixed it we found some

    significant differences between the coefficient of correlation and partial correlation for

    instance the significant difference occur in these commodities.

    Conclusion on Correlation and Partial Correlation on PKR:

    &ost of the coefficient of correlation among commodities are showing moderate correlation

    between themselves and a very little number are shoeing high coefficient of correlation li9e

    heat vs -ice, heat vs "eef, heat vs "eef, -ice vs &il9, &utton vs &il9. hen we

    measure the +artial correlation by controlling variable year we come to 9now about all

    coefficients of +artial %orrelation becomes smaller then coefficient of correlation. In short we

    can say that variable year has significant effect on commodities.

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