In: Statistics and Probability
What is the p value for the correlation and what does it mean?
| students | AS | G |
| 1 | 8 | 81 |
| 2 | 9 | 97 |
| 3 | 8 | 72 |
| 4 | 7 | 79 |
| 5 | 6 | 70 |
| 6 | 4 | 60 |
| 7 | 6 | 81 |
| 8 | 7 | 87 |
| 9 | 6 | 77 |
| 10 | 0 | 85 |
| 11 | 6 | 64 |
| 12 | 7 | 91 |
| 13 | 8 | 75 |
| 14 | 7 | 73 |
| 15 | 7 | 76 |
| 16 | 8 | 83 |
| 17 | 8 | 83 |
| 18 | 2 | 55 |
| 19 | 8 | 92 |
| 20 | 9 | 92 |
| 21 | 8 | 90 |
| 22 | 7 | 62 |
| 23 | 9 | 85 |
| 24 | 7 | 57 |
| 25 | 5 | 82 |
| 26 | 9 | 91 |
| 27 | 8 | 69 |
| 28 | 5 | 66 |
| 29 | 9 | 88 |
| 30 | 8 | 74 |
Bring the above data in to excel sheet. Please follow the step by step procedure to find correlation and P value. Next to find whether the P value is statistically significant or not.
1. Go to data --> data analysis --> choose regression statistics.
2. input Y range and X range , and finally choose output range then click ok.
3. Regression output will be populated in excel sheet.
4. There is a "Multiple R " value in the first row will be the correlation value.
5. Correlation = Multiple R value
6. Directly without statistics also we can find correlation value with excel formula "=CORREL(Variable 1, Variable 2)



7. Inthe above image highlighted P value and Significance F. Both are same in the regression statistics.
8. Now we need to find P value rules.
9. The P-value is the probability that you would have found the current result if thecorrelation coefficient were in fact zero (null hypothesis). If this probability is lower than the conventional 5% (P<0.05) the correlation coefficient is called statistically significant.
10. Our P value is 0.014 < 0.05. So statistically significant