Question: The first output shows an expanded dropdown list menu, bivariate fit of Antho 2 by Antho 1. Below it is a scatterplot which plots Antho
The first output shows an expanded dropdown list menu, bivariate fit of Antho 2 by Antho 1. Below it is a scatterplot which plots Antho 2 on the vertical axis, ranging from 0 to 3.5 in increments of 0.25, versus Antho 1 on the horizontal axis, ranging from 0 to 3.5 in increments of 0.25. Hundreds of points are plotted across the graph in a wide, dense cluster with a general upward trend from left to right. A regression line rises through the center of the cluster from (0, 0.7) to (3.5, 2.9). All values estimated. Below is an expanded menu, linear fit, which gives the following equation. Antho 2 = 0.6030563 + 0.6800371 times Antho 1. Beneath is another expanded menu, summary of fit, which shows a table with the following data. R square, 0.360252. R square adjusted, 0.357837. Root mean square error, 0.473137. Mean of response, 1.711401. Observations, or sum weights, 267. The second output shows four expanded menus, bivariate fit of Antho 2 by Antho 1, linear fit, diagnostics plots, residual by x plot. Below is a residual plot which plots Antho 2 residual on the vertical axis, ranging from negative 1.5 to 1.25 in increments of 0.25, versus Antho 1 on the horizontal axis, ranging from 0.0 to 3.25 in increments of 0.25. A residual line extends horizontally from 0 on the vertical axis. Hundreds of points are plotted high and wide in a dense cluster across nearly the entire graph. Beneath is an expanded menu, residual normal quantile plot. It shows a normal quantile plot which plots Antho 2 residual on the vertical axis, ranging from negative 2.0 to 1.5 in increments of 0.5, versus normal quantile on the horizontal axis, ranging from 0.003 to 1 in varying increments. Hundreds of points are plotted in a tight, nearly straight diagonal cluster from (0.003, negative 1.5) to (1, 1.25). A diagonal regression line rises through the center of the cluster from (0.003, negative 1.25) to (1, 1.2), intersecting nearly every point. A dashed curve falls tangent to the regression line from above, and a second rises tangent to the line from below. All values estimated.
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