2. Derive an approximate expression for the MSE of the ratio estimator ŷURatio and discuss under what condition will this estimator be more precise as compared to the estimator U,SRS.

Given the “data” determined by y = x^3 + (x-1)^2 with x = 0.1, 1.2, 2.3, and 2.9, calculate SSTO, SSR, and R^2. Then recalculate these using x = 0.3, 1, 2.45, and 2.8. Does where you collect your data (i.e., which values of x) appear to impact your interpretation of how good the linear model fits?.

High to centimeters and weight in kilograms are measured for 100 randomly selected adult males and range from the height of 131 to 189 cm and weights of 37 to 150 kg. let the predictor variable X be the first variable given. the 100 paired measurements yield X bar is equal to 167.31 cm, y bar is equal to 81.42 kg.  R is equal to 0.335. P value equal to 0.001 and predicted y = -103+1.08x. find the best predictive value of predicted why wait given an adult male who is 150 cm tall use a 0.01 significance level.

Suppose the relationship between Y and X is given by: Y = 25 - 3X + error  By how much does the expected value of Y change if X decreases by 2 units?

i keep getting this one wrong - can you detail how to break this down...