The Normal Probability Plots

   

Added on  2020-03-16

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(c) Table 1: Five number summary of ageMinimum1First Quartile2Median13Third quartile45Maximum55Figure 1:Box plot with whiskers of the variable age0204060ageIn the above box plot, all the outliers lie after the second whisker. This means the distributionis positively skewed (Holcomb, 2017). It also means that the variable has mean greater than the median. This means that the right tail is longer and the bulk of the distribution is concentrated on the left side of the curve ( Holcomb, 2017). This shows that majority are of the age group 1 to 20 years. The outliers lie above the age of 30 years.
The Normal Probability Plots_1
(n)Figure 2:Normal probability plot020406080100120050000100000150000200000250000300000Normal Probability PlotSample PercentileYFigure 2 shows the normal probability plots from the regression of price against theindependent variables age, automation, power, petrol, kilometer, hatchback, convertible andsedan. The normal probability plots show that there are only two outliers while theresiduals are normally distributed. Thus it shows an approximate linear distribution with theexception of the two outliers. Hence, the error terms follow a normal distribution afterremoving the two outliers from the data set. Thus, the normality and linearity assumptionsare satisfied as shown by the normal probability plots. The residual plots for each of the independent variables are shown in the figures below.Residual plots0102030405060-1000000100000200000300000ageResidual PlotageResiduals
The Normal Probability Plots_2

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