(c) Based on the given data can you find a significance level under which you could not reject the null-hypothesis in part (b)? (c) There is no such significance level under which we could not reject the null-hypothesis since the p-value is (rounded) zero. (d) Suppose that a 95% confidence interval has been calculated for the average house price with 3,000 square feet size. The price of a particular 3,000 square feet house lies outside of this confidence interval. In particular, it is larger than the upper limit of the confidence interval. Based on this information is it reasonable to say that this house has an unusually high price? (d) It is NOT reasonable to say that the price of a particular house is unusually high only because it is higher than the upper limit of the 95% confidence interval. The reason is that the confidence interval contains the average price of 3,000 square feet houses in the population with 95% probability, not the price of a particular 3,000 square feet house. A good way to decide whether the price of a particular house is unusually high is to compare it to the upper limit of the 95% prediction interval. e) Create a 95% confidence interval for B1. B1 + - t alpha/2 *SB1 Degree freedom: n-2 0 28-2 = 26 t.025 0 .1471 +- 2.056 (from t table) x .0255