A department of transportation’s study on driving speed and miles per gallon for midsize automobiles resulted in the following data:
Speed (Miles per Hour)Miles per Gallon: 30 51 39 55 30 24 61 24 50 56
Miles per Gallon: 29 25 25 23 31 33 20 35 26 24
Compute the sample correlation coefficient (to 2 decimals and enter negative value as negative number).
What can you conclude, based on your computation of the sample correlation coefficient?
x | y | x^2 | y^2 | xy | |
30 | 29 | 900 | 841 | 870 | |
51 | 25 | 2601 | 625 | 1275 | |
39 | 25 | 1521 | 625 | 975 | |
55 | 23 | 3025 | 529 | 1265 | |
30 | 31 | 900 | 961 | 930 | |
24 | 33 | 576 | 1089 | 792 | |
61 | 20 | 3721 | 400 | 1220 | |
24 | 35 | 576 | 1225 | 840 | |
50 | 26 | 2500 | 676 | 1300 | |
56 | 24 | 3136 | 576 | 1344 | |
Total | 420 | 271 | 19456 | 7547 | 10811 |
Correlation coefficient
=-0.94
Therefore, we an conclude that , there is very strong negative correlation between driving speed and miles per gallon
We can directly calculate correlation coefficient by using Excel.
Step 1) Enter data in Excel.
Step 2 ) Then use =CORREL command and select two
separate column data >> ok
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