A set of y-values is transformed (in order to yield a better linear fit) by taking the natural logarithm of each value. The regression of ln y on x is then computed as ln y=-3.1+2.5x. What is the predicted value of y when x=3?
just replace x =3 in ln y = .... then take e both sides to get y
@iGreen i got 4.4 could you check my answer please?
@rational can you help me with this please?
\[\ln y = 4.4\] \[y=?\]
i looked up how to do it and by the steps this is what i got: y=e^2.5x-3.1= (e^2.5)^xe^-3.1= EXP(2.5)^xEXP(-3.1) i just don't know what to do next
and I'm not sure if 4.4 is right that was the solution that i thought might be right
\[\ln y =4.4 \] is same as \[y=e^{4.4}\]
plug that into calculator
oh so its 81.45? I'm not sure if the 4.4 i got was right to start though
Correct. lny = 4.4 is also correct
oh so the answer is 81.45, thanks! (sorry I'm sorta bad with this)
remember : \[\ln y = a\] is same as \[y=e^a\] where \(e\) is an irrational number : \(2.718\ldots\)
oh ok does that mean I'm wrong?
you're right, why do u think you're wrong
i thought i had to do something with the 2.718 sorry
wolfram did that for you
wolfram knows that e = 2.718...
ok awesome thanks!
Join our real-time social learning platform and learn together with your friends!