5. Check the assumptions of the linear model with appropriate plots. 6. Produce an appropriate interval to find the range of breath- alyzer results you would expect 95% of the time for an indi- vidual with a BAC of 20mg/100ml 1 % Read in data 2 blood alcohol readtable ('blood alcohol.csv'); 3 4 % Scatterplot " 6% Fit linear regression 7 blood alcohol 1m; N 9 % Diagnostics 10 11 % Predict 12 [fit, interval] = using matlab, BAC BRAC 0 64 1 114 6 98 21 153 23 160 37 268 36 230 38 216 54 321 58 325 63 352 70 389 72 377 77 403 89 466 93 483 Sixteen male volunteers were randomly allocated one of 16 drinks containing from 0 to 20 units of 5.5 ml of 80 proof liquor. After one hour, they took the breathalyzer test and provided a blood sample. The data is in a CSV file called blood alcohol.csv. It has two columns: BAC: blood alcohol concentration for subject in mg alcohol in 100 ml of blood. BrAC breathalyzer result. * Analysis of dataset For this section, you will need to write a script and submit it to Matlab Grader. The script should: 1. Read in the dataset. 2. Produce a scatterplot of BrAC against BAC. 3.Describe the relationship. 4. Fit an appropriate linear model so that you can predict BrAC from a given BAC.

5. Check the assumptions of the linear model with appropriate plots. 6. Produce an appropriate interval to find the range of breath- alyzer results you would expect 95% of the time for an indi- vidual with a BAC of 20mg/100ml 1 % Read in data 2 blood alcohol readtable ('blood alcohol.csv'); 3 4 % Scatterplot " 6% Fit linear regression 7 blood alcohol 1m; N 9 % Diagnostics 10 11 % Predict 12 [fit, interval] = using matlab, BAC BRAC 0 64 1 114 6 98 21 153 23 160 37 268 36 230 38 216 54 321 58 325 63 352 70 389 72 377 77 403 89 466 93 483 Sixteen male volunteers were randomly allocated one of 16 drinks containing from 0 to 20 units of 5.5 ml of 80 proof liquor. After one hour, they took the breathalyzer test and provided a blood sample. The data is in a CSV file called blood alcohol.csv. It has two columns: BAC: blood alcohol concentration for subject in mg alcohol in 100 ml of blood. BrAC breathalyzer result. * Analysis of dataset For this section, you will need to write a script and submit it to Matlab Grader. The script should: 1. Read in the dataset. 2. Produce a scatterplot of BrAC against BAC. 3.Describe the relationship. 4. Fit an appropriate linear model so that you can predict BrAC from a given BAC.

Advanced Engineering Mathematics

10th Edition

ISBN:9780470458365

Author:Erwin Kreyszig

Publisher:Erwin Kreyszig

Chapter2: Second-order Linear Odes

Section: Chapter Questions

Problem 1RQ

See similar textbooks

Similar questions

how do I post the second part?
Don't use chat gpt It
comp: /-
its not correct
Explain why A and -A always have the same reduced echelon form R.
I am still confused
can you retype this table but using true and false this time?