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INTERDISCIPLINARY JOURNAL OF CONTEMPORARY RESEARCH IN BUSINESS<br />

JANURAY 2011<br />

VOL 2, NO 9<br />

5. Data Analysis and Interpretation<br />

In this study the ―(Pearson) correlation analysis‖ test has been applied to check the<br />

relationship between corruption and <strong>in</strong>flation <strong>in</strong> Pakistan and India 4 . Degree and type <strong>of</strong><br />

relationship between any two or more variables <strong>in</strong> which they vary together over a period is<br />

known as (Pearson) correlation and denoted by ―r‖. A positive correlation exists where the<br />

high values <strong>of</strong> one variable are associated with the high values <strong>of</strong> the other variable(s). A<br />

negative correlation means association <strong>of</strong> high values <strong>of</strong> one with the low values <strong>of</strong> the<br />

other(s). Correlation can vary from +1 to -1.<br />

To analyze the relationship between <strong>in</strong>flation and corruption ―M<strong>in</strong>itab w<strong>in</strong>dows Release 11.12<br />

32 Bit‖ is used <strong>in</strong> this study.<br />

The test applied to see the association among corruption and <strong>in</strong>flation <strong>in</strong> Pakistan has given<br />

the result <strong>of</strong> r = 0.114 which shows that there is weak association among corruption and<br />

<strong>in</strong>flation <strong>in</strong> Pakistan. In the other case (<strong>in</strong> India) the result is r = 0.683, which shows that there<br />

is strong positive relationship between corruption and <strong>in</strong>flation <strong>in</strong> India, which shows that<br />

both <strong>in</strong>flation and corruption tend to move <strong>in</strong> same direction, if one <strong>in</strong>creases then other also<br />

<strong>in</strong>creases and vice versa. 3<br />

6. Results and conclusion<br />

This research has been conducted to see the relationship <strong>of</strong> corruption with <strong>in</strong>flation <strong>in</strong><br />

Pakistani and Indian context. The data regard<strong>in</strong>g <strong>in</strong>flation <strong>in</strong> Pakistan and India is collected<br />

from ―Asian Development Bank‖ and ―Federal Bureau <strong>of</strong> Statistics‖. The data regard<strong>in</strong>g<br />

corruption is collected from the Transparency International. To f<strong>in</strong>d out the correlation the<br />

―M<strong>in</strong>itab Release 11.12‖ is used. The results from this test show that there is little relationship<br />

between <strong>in</strong>flation and corruption <strong>in</strong> Pakistan means that whether there is <strong>in</strong>crease <strong>in</strong> <strong>in</strong>flation<br />

then corruption will <strong>in</strong>crease a little bit. But result is opposite <strong>in</strong> Indian context which shows<br />

that there is positive relationship between corruption and <strong>in</strong>flation, it means that when there is<br />

<strong>in</strong>crease <strong>in</strong> the corruption; <strong>in</strong>flation will also <strong>in</strong>crease. So, it can be concluded that higher<br />

corruption will tend to higher <strong>in</strong>flation <strong>in</strong> India.<br />

3 (http://www.bus<strong>in</strong>essdictionary.com)<br />

COPY RIGHT © 2011 Institute <strong>of</strong> <strong>Interdiscipl<strong>in</strong>ary</strong> Bus<strong>in</strong>ess <strong>Research</strong> 396

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