Question: fConsider the original program that estimates oyster volume using 2D digital image processing. 1. Create a scatterplot of 2D volume reconstruction and actual volume, using

$\fConsider the original program that estimates oyster volume using 2D digital$

image processing. 1. Create a scatterplot of 2D volume reconstruction and actual

volume, using 2D reconstruction for the explanatory variable. Find the equation for

the least-squares regression line. 2. Verify the conditions for inference. 3. Test

\fConsider the original program that estimates oyster volume using 2D digital image processing. 1. Create a scatterplot of 2D volume reconstruction and actual volume, using 2D reconstruction for the explanatory variable. Find the equation for the least-squares regression line. 2. Verify the conditions for inference. 3. Test whether the linear relationship is statistically significant and give a 95% confidence interval for the slope of the population regression line. Now consider the newer program that estimates oyster volume using 3D digital image processing. 1. Create a scatterplot of 3D volume reconstruction and actual volume, using 3D reconstruction for the explanatory variable. Find the equation for the least-squares regression line. 2. Verify the conditions for inference. 3. Test whether the linear relationship is statistically significant and give a 95% confidence interval for the slope of the population regression line. In yourjudgment, is the 3D imaging system practically useful? How does it compare with the 2D program

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