2. Does gaining weight increase systolic blood pressure for adult females? And, if so, what is th- relationship? This was a question of interest for researchers. A random sample of twenty femal= ( adults was obtained. The data below is the weight measured in pounds and systolic blood pressure measured in mmHg. ay boold bak Weight Blood Pressure 180 Weight Blood Pressure 138 175 145 120 135 156 125 195 140 135 110 171 129 140 115 Sect 160 126 115 108 158 128 149 124 162 130 135 A 114 150 135 130 105 194 142 130 117 150 127 120 102 E

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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2. Does gaining weight increase systolic blood pressure for adult females? And, if so, what is the
relationship? This was a question of interest for researchers. A random sample of twenty female
(adults was obtained. The data below is the weight measured in pounds and systolic blood pressure
measured in mmHg.
y bo
bak
Weight
Blood Pressure
180
Weight
Blood Pressure
138
175
145
120
135
156
125
195
140
135C
110
171
129
140
115
Secto 160
126
115
108
158
128
149
124 S
162
130
135 A
114
150
135
130
105
194
142
130
117
150
127
120
102 E
Transcribed Image Text:2. Does gaining weight increase systolic blood pressure for adult females? And, if so, what is the relationship? This was a question of interest for researchers. A random sample of twenty female (adults was obtained. The data below is the weight measured in pounds and systolic blood pressure measured in mmHg. y bo bak Weight Blood Pressure 180 Weight Blood Pressure 138 175 145 120 135 156 125 195 140 135C 110 171 129 140 115 Secto 160 126 115 108 158 128 149 124 S 162 130 135 A 114 150 135 130 105 194 142 130 117 150 127 120 102 E
1. State the assumptions of the linear regression model.
2. Once again consider the data describing the relationship between weight and blood pressure
described in problem 2. Use the data in problem 2 to answer the following questions.
a. Perform the residual analysis to verify the assumptions of the model. If any assumptions are
violated, clearly state which assumption(s) are violated.
b. Determine if there are any outliers. If there are outliers, state which data value is an outlier.
dvig lsboin olaenyn olgilum alma odt diW
Transcribed Image Text:1. State the assumptions of the linear regression model. 2. Once again consider the data describing the relationship between weight and blood pressure described in problem 2. Use the data in problem 2 to answer the following questions. a. Perform the residual analysis to verify the assumptions of the model. If any assumptions are violated, clearly state which assumption(s) are violated. b. Determine if there are any outliers. If there are outliers, state which data value is an outlier. dvig lsboin olaenyn olgilum alma odt diW
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