Question
Which form is used when a regression model is best described by a linear function?
Option #1: \(f\left(x\right)\sim mx+b\)
Option #2: \(f\left(x\right)\sim ax^2+bx+c\) or \(f\left(x\right)\sim a\left(x-h\right)^2+k\)
Option #3: \(f\left(x\right)\sim a\left(b\right)^x\)
Option #1: \(f\left(x\right)\sim mx+b\)
Option #2: \(f\left(x\right)\sim ax^2+bx+c\) or \(f\left(x\right)\sim a\left(x-h\right)^2+k\)
Option #3: \(f\left(x\right)\sim a\left(b\right)^x\)
Answers
GPT-4o mini
The form that is used when a regression model is best described by a linear function is:
**Option #1: \(f\left(x\right)\sim mx+b\)**
This represents a linear equation where \(m\) is the slope and \(b\) is the y-intercept. The other options describe quadratic and exponential functions, which are not linear.
**Option #1: \(f\left(x\right)\sim mx+b\)**
This represents a linear equation where \(m\) is the slope and \(b\) is the y-intercept. The other options describe quadratic and exponential functions, which are not linear.