Question

Using the data below, compute the following predicted values.

70 62.5

69 64.6

64 69.1

71 73.9

68 67.1

66 64.4

74 71.1

73 71.0

62 67.4

69 69.3

67 64.9

68 68.1

72 66.5

66 67.5

72 66.5

68 70.3

71 67.5

67 68.5

71 71.9

75 67.8

64 58.6

65 64.7

67 65.3

72 61.0

72 65.4

72 67.4

67 60.9

71 63.1

66 60.0

75 71.1

69 62.2

70 67.2

69 63.4

62 68.4

66 62.2

76 64.7

69 59.6

68 61.0

66 64.0

68 65.4

ŷ(70) = [ Choose ]3292.1873109.3042926042166.2020365.6168566.787213200.74564.44652789.25863.56873

ŷ(72) = [ Choose ]3292.1873109.3042926042166.2020365.6168566.787213200.74564.44652789.25863.56873

ŷ(64) = [ Choose ]3292.1873109.3042926042166.2020365.6168566.787213200.74564.44652789.25863.56873

ŷ(61) = [ Choose ]3292.1873109.3042926042166.2020365.6168566.787213200.74564.44652789.25863.56873

Answer #1

DaughtersHeight.sav is a data set on the height of
adult daughters and the heights of their mothers and fathers, all
in inches. The data were extracted from the US Department of Health
and Human Services, Third National Health and Nutrition Examination
Survey? Analyze these data with child height as the dependent
variable. What can you conclude? Can female daughter height be
related to the height of the father and/or the mother? Conduct a
separate analysis with Type I and Type III...

Use ? to approximate σ. Use a 5% level of significance.
Data:
69
62
75
66
68
57
61
84
61
77
62
71
68
69
79
76
87
78
73
89
81
73
64
65
73
69
57
79
78
80
79
81
73
74
84
83
82
85
86
77
72
79
59
64
65
82
64
70
83
89
69
73
84
76
79
81
80
74
77
66
68
77
79
78
77

PULSE WEIGHT
36 54.4
40 80.3
42 59.5
44 85.5
50 83.1
50 95.1
52 64.1
52 71.3
52 75.3
52 91.7
52 89.9
52 99.8
54 84.1
54 83.3
54 99.4
54 77.5
54 83.0
54 84.5
54 65.3
54 84.8
56 98.2
56 81.4
56 105.5
56 123.9
56 65.3
56 95.8
56 46.3
56 48.5
56 60.8
56 105.1
56 101.8
58 79.2
58 76.6
58 107.4
58 74.6
58 63.4
58 62.4
58 63.6
58 52.1...

The following data values represent a sample of
the heights of female college basketball players. SHOW WORK.
Heights in Inches
65 66 66 67 68 68 68 69 69 69 69 70 71
72 72 72 73 75 75 75 75 76 76 76 76
a) Determine (to two decimal places) the mean height and sample
standard deviation of the heights.
b) Determine the z-score of the data value X = 75 to the
nearest hundredth.
c) Using results from...

Perform a Spearman Rank Correlation Coefficient Test at a
significance of 0.05. Use the following data points
Height (in.)
Foot Length (in.)
63
10
66
12
62.5
9.4
74
10.5
70
11.3
72
11.3
71
12.5
64
9.1
72
10.9
71
10
74
12.1
67
10
69
11.1
65
9.6
62.8
9
72
11.3
68.8
10.5
69
10
65.3
9
53
7
71
10.3
74
11.7
70
10
72
10.6
72.5
12.8
67
9.5
69
10.9
74
11.6
68
9...

A high-school student has scored the following marks in a series
of tests administered over 10 weeks in mathematics and 2 science
subjects, Physics and Chemistry. The school management is
interested to know if there is any correlation between his
performance in Mathematics and the sciences.
Mathematics
78
74
68
85
57
67
73
61
70
66
Physics
73
69
60
81
62
63
75
64
63
59
Chemistry
71
72
63
79
67
60
71
68
69
63
Required:...

Mid Score
Final Score
80
78
87
85
72
81
69
54
86
70
83
73
78
89
75
84
74
86
75
79
84
75
73
63
74
72
73
69
80
86
75
78
72
75
77
68
76
77
66
78
74
77
71
73
85
79
74
74
76
79
76
73
84
72
77
81
78
86
86
76
81
83
78
83
85
86
73
71
83
83
83
79
72
68
83
90...

Question 9-15 are based on the random
sample below which is obtained to test the following hypothesis
about the population mean. Test the hypothesis that the mean is
less than 80.
80
100
81
93
80
57
98
90
71
56
58
78
59
55
55
77
72
78
56
94
98
59
93
86
89
62
60
66
59
71
96
97
94
69
64
77
87
77
64
90
90
95
98
99
56
69
72
81
95...

StudentNO
Gender
Height in inchese
1
Female
63
2
Female
64.0
3
Male
67.0
4
Female
59
5
Male
60
6
Female
61
7
Female
62
8
Female
63
9
Female
63
10
Female
64
11
Male
64
12
Female
65
13
Female
65
14
Female
65
15
Female
65
16
Female
66
17
Female
66
18
Male
67
19
Male
67
20
Male
67
21
Female
67
22
Male
67
23
Male
67
24
Female
67.5
25
Male
68...

The data below represents height in inches/weight in pounds.
Clearly identify the dependent and independent variables as well as
the domain and range. Choose any two points from the data using
different independent variables and use those two points to
determine the rate of change (slope). Then, using the dependent
data value of -500 as your initial value, write an equation for the
linear function model. Predict what you expect at a height of
75".
inches/pounds
60" - 105, 110...

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