Final answer:
The point with the highest error value is C with an error value of 6.8. The outlier point can significantly affect the best-fit line.
Step-by-step explanation:
The point with the highest error term is C, with an error value of 6.8. This means that the predicted value of the dependent variable for point C is off by 6.8 units compared to the actual value.
To compare the error bound in Part d to the margin of error reported by the polling group, we need more information about the polling group's margin of error. Without that information, we cannot determine any differences between the values.
The outlier point, or the point with the highest error, can have a significant impact on the best-fit line. It can affect the slope, intercept, and overall fit of the line. In this case, point C's error may lead to a less accurate line of best fit.