+ Reply to Thread
Results 1 to 1 of 1

Thread: Linear Regression coeffiecients used in Exponential Regression

  1. #1
    Points: 5, Level: 1
    Level completed: 9%, Points required for next Level: 45

    Thanked 0 Times in 0 Posts

    Linear Regression coeffiecients used in Exponential Regression

    I have a decay curve (y) with values 1, 0.75,0.64,0.54,0.46. The x values are 1,2,3,4,5. First a simple linear regression was performed (y =mx + b). Now the slope and coefficient of this line are used in the following exponential equation to predict the y values for x = (6,7,8).
    Exponential equation: y(n) = e^(mx +b) if e^(mx +b) < y(n-1) else y(n) = y(n-1)
    m and b are the slope and coefficient of the linear regression
    Unfortunately I have only this little part with no explanation.
    If anybody could let me know the statistical relevance of such a transformation it would be very helpful. Except the numbers and a lengthy analysis (not statistically relevant in anyway) that follows, I don't have anything to share. Please consider any number of statistically relevant vague assumptions if necessary.
    Last edited by Haripi314; 10-12-2016 at 02:11 PM.

+ Reply to Thread


Tags for this Thread

Posting Permissions

  • You may not post new threads
  • You may not post replies
  • You may not post attachments
  • You may not edit your posts

Advertise on Talk Stats