Module 4 - Regression Models, Qual of Fit, Inference, Model Predictions

Question 1

T/F: Clear pattern with residuals = missing term in model

Answer 1

T

Question 2

Another name for variance

Answer 2

Sum of squares

Question 3

Variance in data breakdown

Answer 3

Total Sum of Squares (TSS) = Regression sum of squares (SSR) + resisual some of squares (SSE - error)

Question 4

T/F: SSR < SSE = model is rlly good

Answer 4

F: Model is good if SSR > SSE. SSR < SSE = we’re not picking up trends

Question 5

For a linear model with 2 parameters…

Answer 5

2 sources of variability, beta_o and beta_1