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Here is a bivariate data set in which you believe y to be the response variable. x y 84.8 1.6 81.3 62.1 67.2 -16.1 52.5
Here is a bivariate data set in which you believe y to be the response variable.
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 slope-intercept form with parameters rounded to three decimal places.)
Find the regression equation for the data set with the outlier.
(Enter as an equation in slope-intercept form with parameters rounded to three decimal places.)
Is this outlier an influential point?
x | y |
---|---|
84.8 | 1.6 |
81.3 | 62.1 |
67.2 | -16.1 |
52.5 | 5.2 |
90.7 | 24.8 |
78.6 | 49 |
78.1 | 63.7 |
72.4 | 0.4 |
72.8 | 51.4 |
83 | 57.8 |
55.7 | -110.5 |
-135.1 | -52.7 |
97.2 | 130.9 |
84.9 | 42.6 |
106.1 | 73.3 |
102.5 | 118.2 |
80.7 | 46.1 |
75.5 | 23.8 |
90.4 | 70 |
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 slope-intercept form with parameters rounded to three decimal places.)
Find the regression equation for the data set with the outlier.
(Enter as an equation in slope-intercept form with parameters rounded to three decimal places.)
Is this outlier an influential point?
- Yes, the outlier appears to be an influential point.
- No, the outlier does not appear to be an influential point.
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