A pediatrician wants to determine the relation that may exist between a child's height and head circumference. She randomly selects 5 children and measures their height and head circumference. The data are summarized below. Find the residuals from the regression and verify that the residuals are approximately normally distributed. Height (inches), x 26.75 25.5 26.5 27 25 Head Circumference (inches), y 17.3 17.1 17.3 17.5 16.9

Now we can find the residulls like this:

So then we can see that the residuals are not with an specified pattern (alternating sign) so then we can conclude that are distributed normally

Step-by-step explanation:

We have the following data given:

Height (inches), x 26.75 25.5 26.5 27 25

Head Circumference (inches), y 17.3 17.1 17.3 17.5 16.9

We need to find a linear model

For this case we need to calculate the slope with the following formula:

Where:

So we can find the sums like this:

With these we can find the sums:

And the slope would be:

Nowe we can find the means for x and y like this:

And we can find the intercept using this:

So the line would be given by:

Now we can find the residulls like this:

So then we can see that the residuals are not with an specified pattern (alternating sign) so then we can conclude that are distributed normally

could you reply to this with the question so i can ?

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step-by-step explanation:

the first two graphs show multiple turning points. the last graphs matches the description in every detail.