Die Strаßenbаhn kоmmt (аt) 17 Uhr 12.
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Yоu’re аnаlyzing viscоsity test dаta tо determine the impact of ambient lab temperature (T) on measured viscosity. You create a scatterplot of measured viscosity vs. ambient temperature and think that there may be curvature, indicating a non-linear relationship between viscosity and T. You calculate a least squares regression line and plot the residuals (Plot A below). In order to confirm your suspicions of nonlinearity, you create a variable u where u(T) = exp(T), then calculate a least squares regression line for viscosity vs. u and plot the residuals (Plot B below). Based on the appearance of residuals plots A and B, were you correct in suspecting a non-linear relationship between viscosity and ambient lab temperature? No, neither residual plot A nor residual plot B show any patterns or evidence of curvature No, only plot A shows a pattern suggesting curvature, and both plots A and B must show curvature in order to confirm non-linearity of the viscosity vs. T relationship. Yes, because plot A shows some evidence of curvature and plot B does not.