STAB22H3 Lecture Notes - Lecture 5: Scatter Plot, South Dakota Highway 10, Dependent And Independent Variables

• School: UTSC
• Department: Statistics
• Course: STAB22H3
• Professor: Mahinda Samarakoon

Document Summary

Population (in millions) in a country for 2000-2005 (recorded as 0, \population = 5. 19 + 0. 686year, and the coe cient of determination is r 2 = 93. 5%. Nonlinearity (a curve rather than a line) is more prominent. I no regression analysis is complete without a display of the residuals to check that the linear model is reasonable. I residuals often reveal subtleties that were not clear from a plot of the original data. I sometimes they reveal violations of the regression conditions that require our attention. I it is a good idea to look at both a histogram of the residuals and a scatterplot of the residuals versus the predicted values or the explanatory variable. Examination of the residuals to highlight groups of. I an examination of residuals often leads us to discover groups of observations that are di erent from the rest.