A residual plot shows how far away each point in the scatter plot is from the least squares regression line.

The table shows two scatter plots with least squares regression lines fit to the data. Drag the residual plot that matches each scatter plot into the cell next to it.

Scatter plot one is not a good fit so answer is first picture to the left in a top row( see the pattern). Second plot is a good fit so the answer is the last right picture in a top row( points around x axis).

Step-by-step explanation:

A random scatter of points in the residual plot indicates that the linear function is a good fit for the given data. A non random residual plot indicates that the chosen function is not a good fit.

dmc79765 dmc79765 · Answer 2 · 2021-01-19T06:48:22+01:00

dmc79765 dmc79765

19-01-2021

Answer:

The one that goes with the first plot is the residual plot in the middle picture of the top row

The one that goes with the last plot is the last right picture in top row. See photo below. You will need to zoom in.

Step-by-step explanation:

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A residual plot shows how far away each point in the scatter plot is from the least squares regression line. The table shows two scatter plots with least squares regression lines fit to the data. Drag the residual plot that matches each scatter plot into the cell next to it.

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A residual plot shows how far away each point in the scatter plot is from the least squares regression line.

The table shows two scatter plots with least squares regression lines fit to the data. Drag the residual plot that matches each scatter plot into the cell next to it.