In: Statistics and Probability
1. (5pt) In order to study the relation of weight to blood sugar level, medical researchers considered a random sample of 12 patients. The observed Pearson correlation between weight and blood sugar level was 0.63. Perform a hypothesis test for the presence of correlation in the population at significance level 0.05.
2. (5pt) The researchers in the previous problem fit a simple linear regression model to the same data with blood sugar level as the response (Y) and weight as the regressor (X).
(a) (2pt) If X¯ = 165, Y¯ = 106, SX = 10 and SY = 20, compute the least squares estimates of intercept and slope.
(b) (3pt) Suppose the estimated standard error of βˆ 1 is 0.4912, construct a 99% confidence interval for the slope.