The standardized residuals resulting from fitting the simple linear regression model are .98, -1.57, 1.47, .50, -.76, -.84, 1.47, -.85, -1.03, -.20

defazajx

defazajx

Answered question

2021-08-07

The accompanying data on y = normalized energy \(\displaystyle{\left(\frac{{J}}{{{m}}^{2}}\right)}\) and x = intraocular pressure (mmHg) appeared in a scatterplot in the article “Evaluating the Risk of Eye Injuries: Intraocular Pressure During High Speed Projectile Impacts” (Current Eye Research, 2012: 43–49). an estimated regression function was superimposed on the plot.
\(\begin{array}{} x&2761&19764&25713&3980&12782&19008\\ y&1553&14999&32813&1667&8741&16526 \\ x&20782&19028&14397&9606&3905&25731\\ y&26770&16526&9868&6640&1220&30730 \\ \end{array}\)
The standardized residuals resulting from fitting the simple linear regression model (in the same order as the observations) are .98, -1.57, 1.47, .50, -.76, -.84, 1.47, -.85, -1.03, -.20, .40, and .81. Construct a plot of e* versus x and comment. [Note: The model fit in the cited article was not linear.]

Answer & Explanation

Raheem Donnelly

Raheem Donnelly

Skilled2021-08-08Added 75 answers

A simple linear regression model does not appear to be appropriate.

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