Assignment on Corelation Coefficient
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![Assignment on Statistics<br />Regression and correlation of coefficient<br />Submitted To<br />Prof. Samad Abedin<br />Professor of Statistics<br />Department of Business Administration<br />International Islamic University Chittagong<br />Submitted By<br />Md. Moshaharul Haque<br />Student of 5th Semester<br />Roll: B091833<br />Batch: 30A1<br />International Islamic University Chittagong<br />Date: July 25, 2011<br />Question: Following data relate to the number of computer uses of several classes students.<br />No of Student: 26304025272930<br />No of Computer:109167201118<br />,[object Object]](https://image.slidesharecdn.com/assignment-110729130349-phpapp01/85/Assignment-on-Corelation-Coefficient-1-320.jpg)
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Assignment on Corelation Coefficient
- 2. Apprehend the relationship between x and y.
- 3. Obtain estimating equation for y and predict y for x=32, and x=26.
- 4. Find correlation coefficient between x and y & coefficient of determination.
- 6. From scatter diagram we apprehend that the relationship between x and y is somewhat positive and more or less linear.
- 8. y = a+ bx
- 9. Where;
- 13. r = (x-x)(y-y)(x-x)2 (y-y)2
- 14. = 34.2149.36 X 148
- 15. = 34.222105.28
- 16. = 34.2148.7
- 17. = .23
- 18. Report: for given data, we apprehend somewhat positive & linear relation between no of students & no of computers & the relationship is positive but the evidence of linear relationship is strong. This evidence from regression coefficient b = .23 & r = .23. The coefficient of determination r2 = (.23)2 = .053 or 5.3% indicates that only 5.3% of total variation of computer only 5.3%. This explained by no of students.The End<br />