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Number of years of experience x -Independent Number of new policies written annually Y dependent yi yi 2 17 4 34 289 5 22 25
Number of years of experience x -Independent | Number of new policies written annually Y dependent | yi | yi | |
2 | 17 | 4 | 34 | 289 |
5 | 22 | 25 | 110 | 484 |
7 | 34 | 49 | 238 | 1156 |
6 | 37 | 36 | 222 | 1369 |
12 | 50 | 144 | 600 | 2500 |
9 | 41 | 81 | 369 | 1681 |
5 | 13 | 25 | 65 | 169 |
20 | 48 | 400 | 960 | 2304 |
13 | 39 | 169 | 507 | 1521 |
4 | 20 | 16 | 80 | 400 |
10 | 35 | 100 | 350 | 1225 |
20 | 63 | 400 | 1260 | 3969 |
=113 | Yi = 419 | 1449 | yi 4795 | y17067 |
1. using appropriate computational formulae find the least-square regression line.
2. Interpret the y- intercepts of regression equation in question 1 above.
3. Calculate the Pearson's correlation coefficient for the above data
4. interpret the correlation coefficient calculate in question 3 above
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