What are the assumptions of the probit model?
I am trying to understand the probit model and its underlying assumptions. I want to know what assumptions are made when using this model for statistical analysis.
What are the assumptions of probit model?
Can you please explain the fundamental assumptions of the probit model, and how they differ from other regression models like the linear regression? Specifically, how does the probit model handle the binary dependent variable and what are the statistical implications of these assumptions on the estimation process and the interpretation of results? Additionally, could you discuss any potential limitations or challenges associated with these assumptions in real-world applications, especially in the context of cryptocurrency and finance?
What assumptions are made in the Forbes advisor bitcoin profit calculator?
As a curious investor seeking to understand the intricacies of cryptocurrency profitability, I must inquire about the underlying assumptions of the Forbes Advisor Bitcoin Profit Calculator. What market conditions and factors are taken into account when estimating potential returns? Are the fees and taxes associated with trading Bitcoin accurately reflected? Are the calculations based on historical data or are they making predictions based on current market trends? Understanding these assumptions is crucial for me to make informed decisions about my investments.