Describe the residual plot used in the question including the following- definition of a residual, labeling of axes in a residual plot, how to actually make the plot, conclusions drawn from a residual plot.
This was the question- Jensen appears to be growing slowly as a toddler. His height between 18 and 30 months of age increases as follows: ..Age.....Observed...Predicted.. Residual (months) Height(cm) Height(cm) 18.......... 76.5.......... 76.566......-0.066 21.......... 78.7.......... 79.077......-0.377 24.......... 81.588...... 81.176...... 0.412 27.......... 84.8.......... 84.099......-0.701 30.......... 86............. 86.61........-0.61 The least-squares regression line is Height= 61.5+0.837 times age
residual is the unexplained portion between the lsr and the actual value but i dont see an actual question in any of the information
http://stattrek.com/regression/residual-analysis.aspx that will prolly do better than i can recall at the moment
a random scattering of residuals indicates a good linear correlation; otherwise a different type of regression would be better suited
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