Question

Jes used GeoGebra to find a linear model (trend line) of the data collected for their science project. They calculated the following residuals for their data 0.26, 0.93, 0.5489, and 0.659. What conclusion can Jes make about the appropriateness of the linear model based on the residuals?(1 point)
Responses

The linear model accurately represents the data since all residuals are positive.
The linear model accurately represents the data since all residuals are positive.

The linear model does not accurately represent the data since all residuals are positive.
The linear model does not accurately represent the data since all residuals are positive.

The linear model accurately represents the data since all residuals are less than 1.
The linear model accurately represents the data since all residuals are less than 1.

The linear model does not accurately represent the data since all data points are less than 1.
The linear model does not accurately represent the data since all data points are less than 1.

Answer 1

The linear model does not accurately represent the data since all residuals are positive.

Explanation: All positive residuals mean the model consistently underestimates the observed values, indicating systematic bias even if the magnitudes are relatively small.