The smaller R square is, the less your s are accountable for the outcome of . An R Square of 1 would suggest that you have adjusted all the influencing factors and you have a well fit model. A R square greater than 1 does not imply a good fit. The Root Mean Square error is the unit error on each side of the mean for . The Mean of Response is just the mean of .
Observations is just the same as the number of rows.
So, where men and women have the same SAT scores, women can be expected to do better as a freshman in this regression. If sex was irrelevant in this equation the sex coefficient would be zero. Histograms Histograms can be created by selecting the header, Distribution of s, and then assigning a variable. Seeing how the s fall under the normal curve can be useful in comparative analysis. For example, the grades for Economics 1 are provided for classes from 1991 and 1992.