5.8 The following data were collected on DOSE, systolic blood pressure (SBP), and diastolic blood pressure (DBP). Create a SAS data set (DOSE RESPONSE) from these data and compute two regression equations. One for SBP versus DOSE and one for DBP versus DOSE. Produce one plot of SBP versus DOSE, another of the residuals (SBP- predicted SBP) versus DOSE, one of DBP versus DOSE, and finally, one of residuals for DBP versus DOSE. Use the PLOT statement of PROC REG to do this. Systolic Blood Pressure - Dose 4 180 4 190 4 178 8 170 Diastolic Blood Pressure 110 108 100 100 8 180 98 8 168 88 16 160 80 16 172 86 16 170 86 32 140 80 32 130 32 128 70 727 72 5.10 Repeat Problem 5.8 using the natural log of dose (LOG function) instead of DOSE. Com- pare the fit statistics. Which fit is better for SBP? Which for DBP?

5.8 The following data were collected on DOSE, systolic blood pressure (SBP), and diastolic blood pressure (DBP). Create a SAS data set (DOSE RESPONSE) from these data and compute two regression equations. One for SBP versus DOSE and one for DBP versus DOSE. Produce one plot of SBP versus DOSE, another of the residuals (SBP- predicted SBP) versus DOSE, one of DBP versus DOSE, and finally, one of residuals for DBP versus DOSE. Use the PLOT statement of PROC REG to do this. Systolic Blood Pressure - Dose 4 180 4 190 4 178 8 170 Diastolic Blood Pressure 110 108 100 100 8 180 98 8 168 88 16 160 80 16 172 86 16 170 86 32 140 80 32 130 32 128 70 727 72 5.10 Repeat Problem 5.8 using the natural log of dose (LOG function) instead of DOSE. Com- pare the fit statistics. Which fit is better for SBP? Which for DBP?

Functions and Change: A Modeling Approach to College Algebra (MindTap Course List)

6th Edition

ISBN:9781337111348

Author:Bruce Crauder, Benny Evans, Alan Noell

Publisher:Bruce Crauder, Benny Evans, Alan Noell

Chapter3: Straight Lines And Linear Functions

Section3.4: Linear Regression

Problem 12SBE: Find the equation of the regression line for the following data set. x 1 2 3 y 0 3 4

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