Question

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

x | y |
---|---|

80.3 | 70.2 |

54.2 | 32.6 |

32.8 | 8.7 |

21.6 | -138.5 |

65.4 | 69.8 |

74 | 96.1 |

-286.1 | -419.1 |

73.5 | -42.6 |

51.5 | -30.9 |

61.2 | 100.8 |

55.7 | -4.9 |

65.3 | 56.6 |

67.7 | 4.7 |

53.7 | -73.9 |

38.7 | 10.4 |

88.5 | 22.7 |

54.7 | 20.4 |

73.8 | -48.5 |

109.5 | 67.2 |

65.2 | 14.6 |

96.4 | -13.9 |

66.6 | 10.2 |

90.4 | 35.4 |

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.)

Answer #1

Scatter plot:

From the scatter plot it is clear that there is one outlier: (-286.1,-419.1)

Here is a bivariate data set in which you believe y to
be the response variable.
x
y
28.7
65.1
26.6
66.2
29.1
61.1
27.7
69.3
28.9
62.9
25.5
65.3
24.3
66
25.9
66.3
27.2
65.6
85.6
45.1
19.9
66.5
30.4
64.3
24.7
64.8
33.7
61.5
26.4
65.4
25.8
64.9
34.5
62.3
20.9
66.6
26.4
64.9
29.6
64.2
25.8
65.4
27
65
31.3
63.7
24.9
65.2
Make a scatter plot of this data. Which point is an outlier?
(Enter as...

Here is a bivariate data set. Find the regression equation for
the response variable y.
x
y
53.1
41.9
29.1
57.1
49
39
45.6
31.3
29.9
30.2
36.5
27.4
14.2
45.6
44.7
51.3
regression equation:
Enter the equation in slope-intercept form with parameters accurate
to three decimal places.

Here is a bivariate data set. Find the regression equation for
the response variable y.
x
y
40.5
-14.4
30.8
-26.7
38.8
-28
57.2
8.3
48.2
68
70
63.1
70.5
28.8
87.1
123.5
43.1
12.7
regression equation:
Enter the equation in slope-intercept form with parameters accurate
to three decimal places.

Run a regression analysis on the following bivariate set of data
with y as the response variable.
x
y
74.1
53.3
81.3
65.5
64.4
79
102.4
35.8
73
59.4
45.4
110.1
66.4
84.9
73.8
70
52
97.5
70.2
86.9
91.1
43.3
Predict what value (on average) for the response variable will
be obtained from a value of 62.2 as the explanatory variable. Use a
significance level of α=0.05α=0.05 to assess the strength of the
linear correlation.
What is the predicted...

Here is a bivariate data set. Find the regression equation for the
response variable y.
x
y
26.7
-82
59.8
204.5
58.3
68.3
56.4
124.3
21.1
18.8
33.1
59.9
15.2
-31.8
37
12.8
36.8
-48
53.8
17.4
53.1
88.4
60.2
100
35.6
30
51.4
62.5

Run a regression analysis on the following bivariate set of data
with y as the response variable.
x
y
69
25.6
87.1
99.4
80.3
77.2
100.4
148
38.1
4.6
99.7
116.2
82.7
74.6
98
100.3
78.5
65.9
93.4
117.5
82.7
106.4
85
52.3
Find the correlation coefficient and report it accurate to three
decimal places.
r =
What proportion of the variation in y can be explained by
the variation in the values of x? Report answer as a
percentage...

Run a regression analysis on the following bivariate set of data
with y as the response variable.
x
y
51.3
17.4
60.8
88.6
37.4
32.9
44.6
53.4
53.7
53.6
52.2
41.5
32.7
28.6
62.4
84.7
47.4
35.7
39.8
33.7
62.1
123
62
83.7
Find the correlation coefficient and report it accurate to three
decimal places.
r = _______
What proportion of the variation in y can be explained by
the variation in the values of x? Report answer as a...

1. Here is a bivariate data set.
x
y
83.7
47.7
73.3
55.5
68.5
42.3
59
43.5
67
41.8
61.6
40.8
64.3
39.2
99.7
71.7
60.8
34.7
69.8
44
86
59.4
47.3
30.8
37.6
20.8
58.6
37.4
57.3
41.1
Find the correlation coefficient and report it accurate to three
decimal places.
r =
2.Run a regression analysis on the following bivariate set of
data with y as the response variable.
x
y
3.8
74.8
54.7
49.8
26.5
64.7
-7.8
86.8...

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