Final answer:
The residuals for x = 1 and x = 4 are 180 and 60 respectively. Residuals represent the difference between the observed data points and the predicted values based on a best-fit line.
Step-by-step explanation:
The residuals for x = 1 and x = 4 are given as follows:
Residual for x = 1: 180
Residual for x = 4: 60
To find the residuals, we need to know the context of the question. Residuals are typically calculated in the context of linear regression, where we compare the observed data points to the predicted values based on a best-fit line. The residual is the difference between the observed y-value and the corresponding predicted y-value for a given x-value.
In this case, the residuals of 180 and 60 might represent the differences between the observed data points and the predicted values for those specific x-values.