An insurance manager believes that the number of new policies written annually by his agents is related to the number of years of selling experience that these agents have. A random sample of 12 agents revealed the data in the table below: Number of years of experience Number of new policies written annually 2 17 5 22 7 34 6 37 12 50 9 41 5 13 20 48 13 39 4 20 10 35 20 63 2.1 determine the dependent and the independent variable 2.2 using appropriate computational formulae find the least-square regression line. 2.3 Interpret the y- intercepts of regression equation in question 2.2 above
An insurance manager believes that the number of new policies written annually by his agents is related to the number of years of selling experience that these agents have. A random sample of 12 agents revealed the data in the table below:
| Number of years of experience | Number of new policies written annually |
| 2 | 17 |
| 5 | 22 |
| 7 | 34 |
| 6 | 37 |
| 12 | 50 |
| 9 | 41 |
| 5 | 13 |
| 20 | 48 |
| 13 | 39 |
| 4 | 20 |
| 10 | 35 |
| 20 | 63 |
2.1 determine the dependent and the independent variable
2.2 using appropriate computational formulae find the least-square regression line.
2.3 Interpret the y- intercepts of regression equation in question 2.2 above
2.4 Calculate the Pearson’s
2.5 interpret the correlation coefficient calculate in question 2.4 above
2.6 Predict the number of policies written annually by an agent with 3 years of experience.
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2.5 interpret the
2.6 Predict the number of policies written annually by an agent with 3 years of experience
by Bartleby Expert2.4 Calculate the Pearson’s
by Bartleby Expert
