Economics Tutor with Specialties in AP Subjects and Special Needs

Shri Nidhi Pareek is teaching Katrina Zhang about skewness in regression analysis, covering methods to check for it (QQ plots, histograms, Shapiro-Wilk test), understanding its implications (positive/negative residual patterns), and correcting it through model specification, variable inclusion, and transformations (log, square, inverse). Shri Nidhi emphasizes the importance of understanding the underlying relationships and theoretical basis of the model, not just prediction, and encourages Katrina to review relevant literature. They plan to continue the lesson after Shri Nidhi's interview.

Shri Nidhi Pareek tutored Katrina Zhang on interpreting regression analysis results using R, focusing on residuals, coefficients, hypothesis testing, and R-squared. Katrina ran a simple linear regression, and Shri Nidhi explained how to interpret the output and identify potential issues. They discussed future sessions to cover skewness, kurtosis, normality, and heteroscedasticity, and Katrina was assigned to review statistics and hypothesis testing.

Shri Nidhi Pareek tutored Katrina Zhang on the topic of multicollinearity, covering perfect vs. imperfect collinearity and its consequences on parameter estimation. Katrina was assigned to gather UK economic data (inflation, unemployment, GDP) for analysis in Excel. Shri Nidhi will use R and Python to model the data, and they will review the results and assumptions in the next session.

Shri Nidhi Pareek tutored Katrina Zhang on the Gauss-Markov theorem, its assumptions, and the concept of multicollinearity. Katrina reviewed CLRM assumptions and the implications of violating them, particularly focusing on perfect multicollinearity. Shri Nidhi assigned reading material from "Econometrics for Dummies" and plans to introduce Stata in future sessions, along with practical examples to address multicollinearity.

Shri Nidhi Pareek tutored Katrina Zhang in econometrics, covering regression analysis and the Gauss-Markov theorem, with a focus on clarifying sample parameter averages and the expectation operator. Pareek is adjusting the teaching approach to prioritize interpretation and application, assigning reading and practice questions, and planning to review basic statistical concepts and specific questions in future sessions. Pareek is also creating new notes to better explain the material.

Shri Nidhi Pareek tutored Katrina Zhang on econometrics, specifically covering OLS assumptions and the sum of squares (TSS, ESS, RSS). Katrina was assigned readings from DeGit and Dougherty to reinforce these concepts, and they plan to discuss the Gauss-Markov theorem in the next session.