How predicted values of Y is computed when Y is in logarithms?

please showwork and make work readable

Please answer those two questions, not graded, thanks

Fake a dataset using a logit model with 20 observations, 1 independent variable whose values are natural numbers between 1 and 5, (odds(x+1)/odds(x)) =1.139, and p=0.52. Show a screenshot of your dataset.

https://www.youtube.com/watch?v=rUdcUemO_oYhttps://www.youtube.com/watch?v=W2Y6aSwwVLY Following Ben's example from the video links, use the inverse properties of logarithms to write [A]t = [A]0e^(-kt) as: the log of the ratio of solution A. the log of [A]t in terms of the log of [A]0. You can substitute and simplify before exponentiating, simplifying your calculator input.

Logarithmic Differentiation. Thank you

How many of the following characteristics can two different logarithmic functions share, while still remaining different? •Domain Range •y-intercept Intervals of increase or decrease Decide how many key characteristics and explain your position with examples.