代写Tutorial 3 Logit Model代写Python语言

Tutorial 3 Logit Model

Preparation

§ Go through the lecture slides

Tutorial Objectives:

§ To conduct binary logit model, and interpret the outputs

§ To conduct multinomial logit model, and interpret the outputs

  Assume that you are hired by LinkedIn to investigate issues related to the continued use of their platform. Work with the “LinkedIn Continued Use” data mentioned in the lecture. You need to conduct the following tests in Python to answer relevant questions.

Part 1: Binary logit model

§ What might influence people’s continued use of LinkedIn (i.e., stay or leave)?

§ Run a binary logit model following the instructions on lecture slides.

§ Generate the coefficients and p values for IVs.

§ Generate the model performance measure.

§ You should be able to replicate the results on lecture slides.

§ Interpret the outputs.

§ Write down your result explanations and recommendations to LinkedIn on notebook and submit the IPYNB file via Canvas (one copy per student).

Part 2: Multinomial logit model

§ What might influence people’s continued use of LinkedIn (7-point scale – intention to continue)?

ü Conduct multinomial logit test following the instructions on lecture slides.

ü Generate the coefficients for the IVs.

ü Generate the model performance measure.

ü You should be able to replicate the results on lecture slides.

ü Interpret the outputs

§ Upload the IPYNB output onto Canvas (one copy per student).