Download Week 9 Question

yes no Was this document useful for you?
   Thank you for your participation!

* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project

Document related concepts

Data model wikipedia , lookup

Data center wikipedia , lookup

Information privacy law wikipedia , lookup

3D optical data storage wikipedia , lookup

Forecasting wikipedia , lookup

Business intelligence wikipedia , lookup

Data vault modeling wikipedia , lookup

Data analysis wikipedia , lookup

Open data in the United Kingdom wikipedia , lookup

Predictive analytics wikipedia , lookup

Week 9 Question
Part II
Linear regression determines the straight line that best fits the data. It doesn’t make the
fit good. An exponential regression determines the exponential expression that best fits
the data. It can have a poorer or a better fit than the linear fit for a given case. A
complex regression may have a number of different variables and a number of different
expressions for those variables. Taking this approach we can get as good a fit as you
want. If the data is velocity versus time, the laws of Physics suggest there should be a
linear relationship and the choice of regression type to use follows easily. If the data are
price and demand, how do you decide the appropriate type of regression to use? What
advice would you give on regression to new analysts just joining your company?