Consider the following data now answer the following questions: A C D D E Age Height (cm) Weight (kg) 21 30 156 68 22 57 158 72 57 169 100 23 21 167 76 47 183 57 24 45 196 65 39 164 69 25 35 172 65 60 173 65 26 52 163 80 44 156 100 27 47 193 62 59 167 59 28 22 168 83 21 153 56 29 27 199 73 29 196 88 30 55 163 55 100 25 191 70 31 18 170 85 42 158 89 32 42 197 89 33 162 72 33 51 196 100 31 168 59 34 55 155 67 35 43 150 63 90 23 150 70 96 36 53 178 50 54 168 83 37 38 194 68 57 154 80 38 52 186 64 38 169 68 39 28 170 77 47 168 93 40 39 161 50 31 176 99 41 55 155 83 44 166 87 42 38 157 66 30 156 68 43 41 189 70 57 158 72 44 53 182 100 Weight (kg) 80 70 45 38 172 98 21 167 76 45 196 65 46 55 183 93 47 34 194 83 35 172 65 48 55 194 91 52 163 80 49 49 200 97 60 47 193 62 50 42 182 68 22 168 83 51 25 158 89 Correlation and Regression 5. Calculate the Pearson correlation coefficient between height and weight. Is there a significant relationship between these variables? 6. Perform a linear regression to predict weight based on height. What is the regression equation? How strong is the model fit? x Scatter Plot of Height vs. Weight xx xx 50 150 160 170 180 190 200 Height (cm)
Consider the following data now answer the following questions: A C D D E Age Height (cm) Weight (kg) 21 30 156 68 22 57 158 72 57 169 100 23 21 167 76 47 183 57 24 45 196 65 39 164 69 25 35 172 65 60 173 65 26 52 163 80 44 156 100 27 47 193 62 59 167 59 28 22 168 83 21 153 56 29 27 199 73 29 196 88 30 55 163 55 100 25 191 70 31 18 170 85 42 158 89 32 42 197 89 33 162 72 33 51 196 100 31 168 59 34 55 155 67 35 43 150 63 90 23 150 70 96 36 53 178 50 54 168 83 37 38 194 68 57 154 80 38 52 186 64 38 169 68 39 28 170 77 47 168 93 40 39 161 50 31 176 99 41 55 155 83 44 166 87 42 38 157 66 30 156 68 43 41 189 70 57 158 72 44 53 182 100 Weight (kg) 80 70 45 38 172 98 21 167 76 45 196 65 46 55 183 93 47 34 194 83 35 172 65 48 55 194 91 52 163 80 49 49 200 97 60 47 193 62 50 42 182 68 22 168 83 51 25 158 89 Correlation and Regression 5. Calculate the Pearson correlation coefficient between height and weight. Is there a significant relationship between these variables? 6. Perform a linear regression to predict weight based on height. What is the regression equation? How strong is the model fit? x Scatter Plot of Height vs. Weight xx xx 50 150 160 170 180 190 200 Height (cm)
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.6: Regression And Median-fit Lines
Problem 5PPS
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Transcribed Image Text:Consider the following data now answer the following questions:
A
C
D
D
E
Age
Height (cm) Weight (kg)
21
30
156
68
22
57
158
72
57
169
100
23
21
167
76
47
183
57
24
45
196
65
39
164
69
25
35
172
65
60
173
65
26
52
163
80
44
156
100
27
47
193
62
59
167
59
28
22
168
83
21
153
56
29
27
199
73
29
196
88
30
55
163
55
100
25
191
70
31
18
170
85
42
158
89
32
42
197
89
33
162
72
33
51
196
100
31
168
59
34
55
155
67
35
43
150
63
90
23
150
70
96
36
53
178
50
54
168
83
37
38
194
68
57
154
80
38
52
186
64
38
169
68
39
28
170
77
47
168
93
40
39
161
50
31
176
99
41
55
155
83
44
166
87
42
38
157
66
30
156
68
43
41
189
70
57
158
72
44
53
182
100
Weight (kg)
80
70
45
38
172
98
21
167
76
45
196
65
46
55
183
93
47
34
194
83
35
172
65
48
55
194
91
52
163
80
49
49
200
97
60
47
193
62
50
42
182
68
22
168
83
51
25
158
89
Correlation and Regression
5. Calculate the Pearson correlation coefficient between height and weight. Is there a significant
relationship between these variables?
6. Perform a linear regression to predict weight based on height. What is the regression equation?
How strong is the model fit?
x
Scatter Plot of Height vs. Weight
xx
xx
50
150
160
170
180
190
200
Height (cm)
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