Regression
Analysis
Regression analysis provides a quantitative
relationship between two or more variables that can be used
for making predictions. This course covers the basic elements
of performing and interpreting regressions. Students will
learn how to choose the right sort of regression for different
data sets, how to derive a regression from raw data, how to
check to see if the regression accurately reflects the relationship
in the data and how to make statistically relevant predictions
from the regression.
Course Format
This is a self-paced course that can be started at any time.
You have 365 days to complete this course.
COURSE LENGTH: 15 Hours
CEU'S: 1.5
Learning Outcomes
Upon the completion of this course, you will be able to:
- Determine under what conditions you should
use a linear, a polynomial, or a multiple regression model
- Perform a linear, polynomial or multiple
regression
- Determine the significance of the regression
using measures such as the correlation coefficient, the
coefficient of determination, the significance of slope
and the standard error of estimate
- Check and interpret residuals in order
to judge the appropriateness of your model
- Calculate and interpret confidence intervals
in order to predict the dependent variable to a given level
of confidence
Seminar Fee: $390
Each participant will receive a Certificate of Completion upon
successful completion of the seminar.
Related Courses
Regression Analysis Executive Overview
|
