# Bivariate data set

Here is a bivariate data set in which you believe y to be the response variable.

x y

51.4 44.8

60.2 46.6

60.1 46.8

45.8 46.3

37.4 41.8

72.4 52.5

60 48.2

67.5 49.5

60.9 49.8

51.1 45.7

62.7 49.6

194.9 84.2

Make a scatter plot of this data. Which point is an outlier?

(Enter as an ordered pair. )

Find the regression equation for the data set without the outlier.

(Enter as an equation in the form y = mx + b with your values for m and b rounded to three decimal places. )

Find the regression equation for the data set with the outlier.

(Enter as an equation in the form y = mx + b with your values for m and b rounded to three decimal places. )

Is this outlier an influential point?

No, the outlier does not appear to be an influential point.

Yes, the outlier appears to be an influential point.

x y

51.4 44.8

60.2 46.6

60.1 46.8

45.8 46.3

37.4 41.8

72.4 52.5

60 48.2

67.5 49.5

60.9 49.8

51.1 45.7

62.7 49.6

194.9 84.2

Make a scatter plot of this data. Which point is an outlier?

(Enter as an ordered pair. )

Find the regression equation for the data set without the outlier.

(Enter as an equation in the form y = mx + b with your values for m and b rounded to three decimal places. )

Find the regression equation for the data set with the outlier.

(Enter as an equation in the form y = mx + b with your values for m and b rounded to three decimal places. )

Is this outlier an influential point?

No, the outlier does not appear to be an influential point.

Yes, the outlier appears to be an influential point.

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