Purchase Solution

# Quantitative Methods, Statistics, and Regression Interpretation

Not what you're looking for?

Case study concerning interpretation of:
- Logit regression
- Explanatory variables
- Dummy variables
- Statistical tests

Additional information can be found in the attachment.

##### Solution Summary

This solution discusses quantitative methods, statistics and regression interpretations.

##### Solution Preview

Please refer to the attachment.

Logistic Regression Equation: a formula with a natural logarithm in it:
P = EXP(a + b X ) / [1+EXP(a + b X)]
This formula shows the relationship between the regression equation (a + bx), which is a straight line formula, and the logistic regression equation. The formula involves the probability, p, that y equals 1 and the natural logarithm, a mathematical function abbreviated.

Now, let's turn to the project at hand.
Logit coefficients correspond to the b (unstandardized regression) coefficients in ordinary least squares (OLS) regression. Logits are the natural log of the odds. They are used in the logistic regression equation to estimate (predict) the log odds that the dependent equals 1.

If the logit for a given independent variable is b1, then one ...

##### Graphs and Functions

This quiz helps you easily identify a function and test your understanding of ranges, domains , function inverses and transformations.

##### Know Your Linear Equations

Each question is a choice-summary multiple choice question that will present you with a linear equation and then make 4 statements about that equation. You must determine which of the 4 statements are true (if any) in regards to the equation.

##### Solving quadratic inequalities

This quiz test you on how well you are familiar with solving quadratic inequalities.

##### Geometry - Real Life Application Problems

Understanding of how geometry applies to in real-world contexts

##### Probability Quiz

Some questions on probability