A housing loan officer from a finance company wanted to know if the price of house the customersbuy depends on the level of education. He selected 100 customers randomly and recorded theprice of the house ($'000) they bought and their level of education. The following are some of theoutputs in the analysis using SPSS.

\fTable 8 (0) Education (J) Education Mean Std. Sig. 95% CI Difference (1- Error J) Lower E College -9.366 3.488 023 -17.67 -1.06 Secondary -34.594 4. 158 000 -44.50 -24.69 University College 9.366" 3.488 023 1.06 17.67 Secondary University -25.227" 3.921 000 -34.56 -15.89 Secondary 34.594 4. 158 000 24.69 44.50 University 3.921 000 34.56 College 25.227" 15.89