You are analyzing the effect of education (X₁: years of education) and work experience (X₂: years of experience) on income (Y). You estimate the following linear model:Ŷ=22,000+1,200X1+850X2Questions: a) Interpret each regression coefficient. (2)b) What is the expected income for someone with 16 years of education and 5 years of experience? (1)c) Suppose a new model includes interaction: (2)Ŷ=22,000+1,200X₁+850X₂+100X₁X₂Interpret the interaction term

What is the HEATPLOT? Please also explain the difference between Pearson’s Correlation and Spearman’s Rank Correlation. 

What is the unbiased estimator? What is the difference between a Point Estimator and an Interval Estimator?

You noticed a high number of viewers clicked a product but very few completed a purchase. Which metric indicates this issue and what should be optimized?

Given a large dataset with duplicate entries, write a Python function using sets to remove duplicates and return a sorted list of unique items. 

What is the best placement for accessories Product (replacement/complementary product) in a livestream?

What’s the best strategy to convert pre-heat viewers into livestream viewers?

What host appearance strategy most effectively supports mid-range fashion products?

Which host behavior best demonstrates proactive communication?

Define emergent disease and list two factors that may lead to the emergence of infectious disease.