Global Bikes Inc. (a bicylce manufacturing firm) collected the following data during a study of consumer buying patterns. Observation x y Observation 1 15 70 2 3 28 79 38 35 49 42 30 89 86 97 97 82 9 10 11 0.721 12 13 a. Create a linear regression line (equation) for the data.(Round your Intermediate calculations and final answers to 3 decimal places.) x y 14 82 16 70 14 68 24 84 21 83 29 91 63.229 X b. Use the equation determined in part b to predict the expected value of y for x = 49. (Round your Intermediate calculations and final answers to 3 decimal places.)

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Global Bikes Inc. (a bicylce manufacturing firm) collected the following data during a study of consumer buying patterns.
Observation
1
2
3
4
5
6
7
y=
X
y
15
70
28
79
38
89
35
86
49 97
42
97
30 82
y =
Observation
0.721 +
1890123
a. Create a linear regression line (equation) for the data.(Round your Intermediate calculations and final answers to 3 decimal
places.)
X
14
16
14
24
21
29
63.229 X
y
82
70
68
84
83
91
b. Use the equation determined in part b to predict the expected value of y for x = 49. (Round your Intermediate calculations and
final answers to 3 decimal places.)
Transcribed Image Text:Global Bikes Inc. (a bicylce manufacturing firm) collected the following data during a study of consumer buying patterns. Observation 1 2 3 4 5 6 7 y= X y 15 70 28 79 38 89 35 86 49 97 42 97 30 82 y = Observation 0.721 + 1890123 a. Create a linear regression line (equation) for the data.(Round your Intermediate calculations and final answers to 3 decimal places.) X 14 16 14 24 21 29 63.229 X y 82 70 68 84 83 91 b. Use the equation determined in part b to predict the expected value of y for x = 49. (Round your Intermediate calculations and final answers to 3 decimal places.)
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