Construct a residual plot and use it to assess the appropriateness of fitting a linear model to the data.

A researcher is investigating the relationship between the amount of fertiliser applied (in grams) and the height of tomato plants (in centimetres) after 8 weeks of growth. The data collected is shown in the table below. The equation of the least-squares regression line is y = 24.5 + 1.8x, where x is the amount of fertiliser (g) and y is the predicted plant height (cm). Calculate the residual for each data point and use the residuals to assess whether a linear model is appropriate for this data.