Screen the dataset for accuracy.

Run the dataset to check for assumptions of ANCOVA, in particular evaluate linearity of regression and homogeneity of regression assumptions. Was any of these assumptions violated? What will you recommend if any of these assumptions are violated?

Do the offices differ in the number of projects completed over a two$-$year period when project complexity is not considered?

Based on the output generated, is the global or omnibus test significant?

Do the offices differ in the number of projects completed over a two$-$year period when project complexity considered? Which office$($s$)$ if any completes least projects?

Write one to two paragraphs of how you will report this results in finding section of a dissertation or journal article.

What are the main reasons for using covariance analysis in a randomized study?