CHE 405

CHE 405
Dr. Grunenfelder
HW 9
Due: 11/20/15 (beginning of class)
In class, we used a least squares approach to solve for regression coefficients to develop
a simple linear regression model for the following data set:
Air Velocity
(cm/s)
20  60  100  140  180  220  260  300  340  380
Evaporation
Coefficient
(mm 2 /s)
0.18  0.37  0.35  0.78  0.56  0.75  1.18  1.36  1.17  1.65
a. Plot the raw data (air velocity is the regressor variable, evaporation coefficient is
the response variable). Does the appearance of the data suggest simple linear
regression is a good way to model the relationship between air velocity and
evaporation coefficient?
b. Use the least squares normal equations to confirm the values we calculated in
class for the regression coefficients (