4.7 Consider the simple linear regression model fit to the weight and blood pressure data in. Symbolic BP Subject Weight Subject Weight Systolic BP 1 165 130 14 172 153 2 167 133 15 159 128 3 180 150 16 168 132 4 155 128 17 174 149 5 212 151 18 183 158 6 175 146 19 215 150 7 190 150 20 195 163 8 210 140 21 180 156 9 200 148 143 124 10 149 125 240 170 11 158 133 235 165 12 169 135 25 192 160 13 170 150 26 187 159 a. Construct a normal probability plot of the residuals. Does there seem to be any problem with the normality assumption? เสีสสสสส 22 23 24

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
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Chapter10: Statistics
Section10.1: Measures Of Center
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4.7 Consider the simple linear regression model fi t to the weight and blood pressure data
in.
Symbolic
BP
Subject
Weight
Subject
Weight
Systolic BP
165
130
14
172
153
167
133
15
159
128
180
150
16
168
132
155
128
17
174
149
212
151
18
183
158
175
146
19
215
150
190
150
20
195
163
210
140
21
180
156
200
148
22
143
124
149
125
23
240
170
158
133
24
235
165
169
135
25
192
160
170
150
26
187
159
a. Construct a normal probability plot of the residuals. Does there seem to be any
problem with the normality assumption?
12345or∞ag123
6
7
8
9
Transcribed Image Text:4.7 Consider the simple linear regression model fi t to the weight and blood pressure data in. Symbolic BP Subject Weight Subject Weight Systolic BP 165 130 14 172 153 167 133 15 159 128 180 150 16 168 132 155 128 17 174 149 212 151 18 183 158 175 146 19 215 150 190 150 20 195 163 210 140 21 180 156 200 148 22 143 124 149 125 23 240 170 158 133 24 235 165 169 135 25 192 160 170 150 26 187 159 a. Construct a normal probability plot of the residuals. Does there seem to be any problem with the normality assumption? 12345or∞ag123 6 7 8 9
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