LABVIIIDocument (1) - Word Singleton, Rose File Home Insert Design Layout References Mailings Review View Help Tell me what you want to do Share ✗Cut Times New Ro▾12 Α' Α' Aa▾ AaBbCc AaBbCc AaBbC AaBbcc AaB AaBbcct AaBbCcl AaBbCcl Find ▾ ab Copy ac Replace Paste BIU abc X₂ x² A T Normal No Spac... Heading 1 Heading 2 Title Subtitle Subtle Em... Emphasis Select Format Painter Clipboard Font Paragraph Multiple Linear Regression Styles Editing Page 1 of 2 323 words Type here to search Lab VIII Dataset consists of information obtained from 20 patients attending a clinic in Miami- Gardens. The clinician wanted to examine factors that were associated with blood pressure among his patients. He decided to collect the following data: 1. Sex (1 = female, 2 = male), 2. Totchol (total cholesterol measured in mg/dL), 3. Sysbp (systolic blood pressure measured in mmHg).4. Diabp (diastolic blood pressure measured in mmHg), 5. Cursmoke (current smoking status 1-smoker, 0-non-smoker).6. Cignday (number of cigarette smoked per day), 7. BMI, 8. Diabetes (1=diabetic, 0=non-diabetic), 9. ID (unique identification number). The goal of this exercise is to examine the relationship between Systolic blood pressure (Y) and a few explanatory variables (age, BMI, Total cholesterol) [X] using processes and procedures of Multiple Linear Regression. 1. Using SAS, generate the scatter plots to examine the linearity between systolic blood pressure and age, bmi, as well as total cholesterol. Comment on what you observed 2. Write out the multiple linear regression model 3. Fit a regression line of systolic blood pressure and age 4. Fit a regression line of systolic blood pressure and bmi W Activate Windows Go to Settings to activate Windows. Earnings up ^ 后 6:49 PM 4/10/2024 + 100% 近 8 5- LabVIII Dataset [Compatibility Mode] - Excel Singleton, Rose 还 Share Font fx C D E F G H File Home Insert Page Layout Formulas Data Review View Help Tell me what you want to do ✗Cut Σ AutoSum Calibri 11 Α' Α' ab Wrap Text General T Copy▾ Paste Format Painter Clipboard ☑ A23 A B BIU Merge & Center $ - % Conditional Format as Cell Formatting Table Styles Insert Delete Format ↓ Fill▾ Clear Sort & Find & Filter Select Alignment Number Styles Cells Editing J K L M N ○ P Q R S T 1 ID SEX TOTCHOL AGE SYSBP DIABP CURSMOKE CIGPDAY BMI DIABETES 2 1 1 195 39 106 70 00 27 0 3 2 1 209 52 121 66 00 30 0 4 3 2 250 46 121 81 00 29 1 5 4 2 260 52 105 70 00 29 1 6 5 2 237 58 108 66 00 29 0 7 6 1245 48 128 80 120 25 0 8 7 1 283 54 141 89 130 25 1 9 8 2 225 61 150 95 130 29 0 10 9 2232 67 183 109 1 20 30 0 11 10 2 285 46 130 84 123 23 1 12 11 2 343 51 109 77 130 23 1 13 12 2 200 58 155 90 1 30 25 1 14 13 2 228 43 180 110 00 30 0 15 14 2230 49 177 102 00 31 1 16 15 2 220 55 180 106 00 31 1 17 16 2 205 63 138 71 00 33 0 18 17 2 220 70 149 81 00 37 0 19 18 2 313 45 100 71 120 22 1 20 19 2 145 51 110 73 130 22 0 21 20 2 221 38 140 90 120 21 0 22 23 Ready H Sheet1 Sheet2 Sheet3 Type here to search 近 W Activate Windows Go to Settings to activate Windows. 6:36 PM + 100% Earnings upcoming 后 4/10/2024

Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
Publisher:David Poole
Chapter2: Systems Of Linear Equations
Section2.4: Applications
Problem 1EQ: 1. Suppose that, in Example 2.27, 400 units of food A, 600 units of B, and 600 units of C are placed...
Question
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Multiple Linear Regression
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Lab VIII Dataset consists of information obtained from 20 patients attending a clinic in Miami-
Gardens. The clinician wanted to examine factors that were associated with blood pressure
among his patients. He decided to collect the following data: 1. Sex (1 = female, 2 = male), 2.
Totchol (total cholesterol measured in mg/dL), 3. Sysbp (systolic blood pressure measured in
mmHg).4. Diabp (diastolic blood pressure measured in mmHg), 5. Cursmoke (current smoking
status 1-smoker, 0-non-smoker).6. Cignday (number of cigarette smoked per day), 7. BMI, 8.
Diabetes (1=diabetic, 0=non-diabetic), 9. ID (unique identification number).
The goal of this exercise is to examine the relationship between Systolic blood pressure (Y) and
a few explanatory variables (age, BMI, Total cholesterol) [X] using processes and procedures of
Multiple Linear Regression.
1. Using SAS, generate the scatter plots to examine the linearity between systolic blood
pressure and age, bmi, as well as total cholesterol. Comment on what you observed
2. Write out the multiple linear regression model
3. Fit a regression line of systolic blood pressure and age
4. Fit a regression line of systolic blood pressure and bmi
W
Activate Windows
Go to Settings to activate Windows.
Earnings up ^
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4/10/2024
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Transcribed Image Text:LABVIIIDocument (1) - Word Singleton, Rose File Home Insert Design Layout References Mailings Review View Help Tell me what you want to do Share ✗Cut Times New Ro▾12 Α' Α' Aa▾ AaBbCc AaBbCc AaBbC AaBbcc AaB AaBbcct AaBbCcl AaBbCcl Find ▾ ab Copy ac Replace Paste BIU abc X₂ x² A T Normal No Spac... Heading 1 Heading 2 Title Subtitle Subtle Em... Emphasis Select Format Painter Clipboard Font Paragraph Multiple Linear Regression Styles Editing Page 1 of 2 323 words Type here to search Lab VIII Dataset consists of information obtained from 20 patients attending a clinic in Miami- Gardens. The clinician wanted to examine factors that were associated with blood pressure among his patients. He decided to collect the following data: 1. Sex (1 = female, 2 = male), 2. Totchol (total cholesterol measured in mg/dL), 3. Sysbp (systolic blood pressure measured in mmHg).4. Diabp (diastolic blood pressure measured in mmHg), 5. Cursmoke (current smoking status 1-smoker, 0-non-smoker).6. Cignday (number of cigarette smoked per day), 7. BMI, 8. Diabetes (1=diabetic, 0=non-diabetic), 9. ID (unique identification number). The goal of this exercise is to examine the relationship between Systolic blood pressure (Y) and a few explanatory variables (age, BMI, Total cholesterol) [X] using processes and procedures of Multiple Linear Regression. 1. Using SAS, generate the scatter plots to examine the linearity between systolic blood pressure and age, bmi, as well as total cholesterol. Comment on what you observed 2. Write out the multiple linear regression model 3. Fit a regression line of systolic blood pressure and age 4. Fit a regression line of systolic blood pressure and bmi W Activate Windows Go to Settings to activate Windows. Earnings up ^ 后 6:49 PM 4/10/2024 + 100% 近
8 5-
LabVIII Dataset [Compatibility Mode] - Excel
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1 ID
SEX TOTCHOL
AGE
SYSBP
DIABP
CURSMOKE CIGPDAY BMI
DIABETES
2
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1 195
39
106
70
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27
0
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1 209
52
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1245
48
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1 283
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89
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2 225
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2232
67
183
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30
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10
2 285
46
130
84
123
23
1
12
11
2 343
51
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2 200
58
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1 30
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2 228
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Transcribed Image Text:8 5- LabVIII Dataset [Compatibility Mode] - Excel Singleton, Rose 还 Share Font fx C D E F G H File Home Insert Page Layout Formulas Data Review View Help Tell me what you want to do ✗Cut Σ AutoSum Calibri 11 Α' Α' ab Wrap Text General T Copy▾ Paste Format Painter Clipboard ☑ A23 A B BIU Merge & Center $ - % Conditional Format as Cell Formatting Table Styles Insert Delete Format ↓ Fill▾ Clear Sort & Find & Filter Select Alignment Number Styles Cells Editing J K L M N ○ P Q R S T 1 ID SEX TOTCHOL AGE SYSBP DIABP CURSMOKE CIGPDAY BMI DIABETES 2 1 1 195 39 106 70 00 27 0 3 2 1 209 52 121 66 00 30 0 4 3 2 250 46 121 81 00 29 1 5 4 2 260 52 105 70 00 29 1 6 5 2 237 58 108 66 00 29 0 7 6 1245 48 128 80 120 25 0 8 7 1 283 54 141 89 130 25 1 9 8 2 225 61 150 95 130 29 0 10 9 2232 67 183 109 1 20 30 0 11 10 2 285 46 130 84 123 23 1 12 11 2 343 51 109 77 130 23 1 13 12 2 200 58 155 90 1 30 25 1 14 13 2 228 43 180 110 00 30 0 15 14 2230 49 177 102 00 31 1 16 15 2 220 55 180 106 00 31 1 17 16 2 205 63 138 71 00 33 0 18 17 2 220 70 149 81 00 37 0 19 18 2 313 45 100 71 120 22 1 20 19 2 145 51 110 73 130 22 0 21 20 2 221 38 140 90 120 21 0 22 23 Ready H Sheet1 Sheet2 Sheet3 Type here to search 近 W Activate Windows Go to Settings to activate Windows. 6:36 PM + 100% Earnings upcoming 后 4/10/2024
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