, and −6.59
. What conclusion can Jade make about the linear model based on the residuals?(1 point)
Responses
The linear model does not accurately represent the data since the residual 9.3 means that the actual point is far from the estimate.
The linear model does not accurately represent the data since the residual 9.3 means that the actual point is far from the estimate.
The linear model does not accurately represent the data since half of the residuals are positive and half of the residuals are negative.
The linear model does not accurately represent the data since half of the residuals are positive and half of the residuals are negative.
The linear model seems to accurately represent the data since the residual 2.6 means that the actual point is not far from the estimate.
The linear model seems to accurately represent the data since the residual 2.6 means that the actual point is not far from the estimate.
The linear model seems to accurately represent the data since half of the residuals are positive and half of the residuals are negative.
1 answer
Jade can conclude that "The linear model does not accurately represent the data since the residual 9.3 means that the actual point is far from the estimate."
This conclusion is valid because the residual of 9.3 indicates a significant positive deviation from the predicted value, showing that at least one data point is far from its estimated value based on the linear model. Large residuals suggest that the linear model is not fitting the data well.
