I am trying to understand multivariate linear regression.(adsbygoogle = window.adsbygoogle || []).push({});

I have a list of time that it took running processes based on several params, like % of cpu usage, and data read. Eg, I have a process that took 50 seconds to run, with a cpu usage of 70%, and the process read 10bytes of data. I have another process that to 110 seconds to run with a cpu usage of 40% and it read 1Mb of data.

These are ficticious values.

With these data, I calculated a multivariate linear regression, and I got 2 coefficients. C1 for the cpu usage, and C2 for the data read.

If i want to predict how much time it will take to run a next process, how the coefficients can help me?

Eg, I know that the CPU is at 30%, and I know that the process will 4Mb of data. Is it correct to predict the time that the process will run like:

t(pred) = C1 * 30% + C2 * 4Mb

Is this correct? I am mixing percentage with Mb to get seconds. Does this make sense? How these params can help me in the prediction?

**Physics Forums - The Fusion of Science and Community**

The friendliest, high quality science and math community on the planet! Everyone who loves science is here!

# Understanding multivariate linear regression

Loading...

Similar Threads - Understanding multivariate linear | Date |
---|---|

I Intuitive understanding of Euler's identity? | Thursday at 4:52 AM |

B Sine/Cosine behaving like a linear function | Jan 11, 2018 |

B Understanding A Middle Ordinate In Terms Of Geometry | Dec 31, 2017 |

I Understanding Cauchy-Schwarz Inequality | Nov 26, 2017 |

I Difficulty with function dependencies f(u,x) | Sep 17, 2016 |

**Physics Forums - The Fusion of Science and Community**