4) Usethe given data to find the equation of the regression line. Round the final valuesto three significant digits, if necessary. x 6 8 20 28 36 y 4 13 20 30 A) y = - 2.79 + 0.950x B) y = - 3.79 + 0.897x C) y = - 2.79 + 0.897x D) y = - 3.79 + 0.801x

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4) Usethe given data to find the equation of the regression line. Round the final valuesto three
significant digits, if necessary.
4)
8
20
28
36
y
4
13
20
30
A) y = - 2.79 + 0.950x
B) y = - 3.79 + 0.897x
laverit brt
C) y = - 2.79 + 0.897x
D) y = - 3.79 + 0.801x
5) Usethe given data to find the equation of the regression line. Round the final values to three
significant digits, if necessary. Two different tests are designed to measure employee productivity
and dexterity. Several employees are randomly selected and tested with these results.
5)
Productivity (x)
Dexterity (y)
23
25
28
21
59
21
25 26
53
30 34 36
49
53
42
47
55
63
67
75
A) y = 2.36 + 2.03x
B) y = 5.05 + 1.91x
C) y = 75.3 - 0329x
D) y = 10.7 + 1.53x
6) For the data below, determine the value of the linear correlation coefficient r between y and x2.
6)
1.2
2.7
4.4
6.6
9.5
y
1.6
4.7
9.9
24.5
39.0
A) 0.873
B) 0.985
C) 0.990
D) 0.913
Transcribed Image Text:4) Usethe given data to find the equation of the regression line. Round the final valuesto three significant digits, if necessary. 4) 8 20 28 36 y 4 13 20 30 A) y = - 2.79 + 0.950x B) y = - 3.79 + 0.897x laverit brt C) y = - 2.79 + 0.897x D) y = - 3.79 + 0.801x 5) Usethe given data to find the equation of the regression line. Round the final values to three significant digits, if necessary. Two different tests are designed to measure employee productivity and dexterity. Several employees are randomly selected and tested with these results. 5) Productivity (x) Dexterity (y) 23 25 28 21 59 21 25 26 53 30 34 36 49 53 42 47 55 63 67 75 A) y = 2.36 + 2.03x B) y = 5.05 + 1.91x C) y = 75.3 - 0329x D) y = 10.7 + 1.53x 6) For the data below, determine the value of the linear correlation coefficient r between y and x2. 6) 1.2 2.7 4.4 6.6 9.5 y 1.6 4.7 9.9 24.5 39.0 A) 0.873 B) 0.985 C) 0.990 D) 0.913
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