MBAQ-104: Quantitative Techniques – Unit 3
Objectives: understand the meaning of correlation; compute the correlation coefficient between two variables from sampleobservations; test for the significance of the correlation coefficient; identify confidence limits for the population correlation coefficient from the observed sample correlation coefficient & become aware of the concept of auto-correlation and its application in time series analysis.
Materials:
The relevant material is available here.
Questions:
- What do you understand by the term correlation? Explain how the study of correlation helps in forecasting demand of a product.
- Suggest five pairs of variables which you expect to be positively correlated.
- Suggest five pairs of variables which you expect to be negatively correlated.
- The following data pertains to length of service (in years) and. the annual income for a sample of ten employees of an industry:
| Length of service in years (X) | Annual income in thousand rupees (Y) |
| 6 | 14 |
| 8 | 17 |
| 9 | 15 |
| 10 | 18 |
| 11 | 16 |
| 12 | 22 |
| 14 | 26 |
| 16 | 25 |
| 18 | 30 |
| 20 | 34 |
5. Compute and plot the first five auto-correlations (i.e. up-to time lag 5 periods) for the time series given below :
| t | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
| dt | 13 | 8 | 15 | 4 | 4 | 12 | 11 | 7 | 14 | 12 |