create a residual plot of residuals vs height(in inches) for your 30 data values. Does the residual plot reveal a pattern, suggesting a linear model is not appropriate? If not appropriate, take a transformation weight vs log(height) or sqr-root(weight) vs height then reexamine your relationship by examining the revised scatterplot and residual plot. Does the association appear to be fairly linear now? explain.

The photo has the 30 data value sets

14 15 Feeling About Weight * Column1 * Column2 . Column3 . Column4 . Column5 16 ID # Gender Age 17 178 Height-in on Weight Well-desc 17 73 18 160 330 15 69 19 242 140 2 18 60 20 55 175 19 74 21 158 215 2 19 60 22 36 168 1 23 17 71 7 175 1 17 70 24 200 279 2 25 16 64 278 110 17 70 26 207 166 1 19 27 73 150 140 19 28 73 190 258 2 18 67 29 140 194 19 65 30 6 19 70 31 - N- 145 150 444 18 60 32 314 142 17 72 33 165 126 2 17 63 34 130 108 35 16 72 145 213 36 18 67 217 - NNN-S 150 16 69 37 165 227 63 38 19 269 110 19 62 39 44 120 16 63 40 115 285 65 41 434 - N 19 340 42 16 63 133 105 43 15 67 52 2 220 15 67 44 110 278 45 17 70 166 360 19 73 46 190 320 15 62 47 120 ( N N N - N - N N N N N - ( N Q - N N W - N N N W W W W N N 48 49 50 51