A computer software organization was encountering serious problems in predicting the man-day requirements for implementing large-scale programming
Question:
A computer software organization was encountering serious problems in predicting the man-day requirements for implementing large-scale programming projects. As part of a study on how to improve predictions. the company asked 24 programmers to predict the number of man-days for a large project about to be undertaken. The programmers were given full details about the specifications for the project. The programmers were classified by type of experience and amount of experience, and after the project was completed the forecasting errors were obtained. The forecasting errors (man-days predicted minus actual man-days) were:
State the model you will use to analyze the effects of amount and type of experience on the forecasting error.
Test whether the factors have any main effects and whether they interact. Use a level of significance of .05 for each test. Write your ANOVA table. Present all the confidence intervals and summarize your results.
Statistics for Business and Economics
ISBN: 978-0134506593
13th edition
Authors: James T. McClave, P. George Benson, Terry Sincich