Whats wrong? Each of the following statements contains an error. Describe each error and explain why the statement is wrong. (a) An influential observation will always have a large residual. (b) High correlation is never present when there is causation. (c) If we have data at values of x equal to 1, 2, 3, 4, and 5, and we try to predict the value of y for x 2.5 using a leastsquares regression equation, we are doing an extrapolation.

ST 512 Week Four Notes MaLyn Lawhorn September 6, 2017 Hypothesis Testing for p: All hypothesis tests pertaining to a proportion p deal with random variables of the form ▯ Y = 1; success i 0; failure where Y1;▯▯▯ ;n are independent identically distributed random variables from a binomial distri- bution. When performing hypothesis tests for proportions, using ▯ as a means to decide to reject the null hypothesis or not always a good method to use because ▯ is not easily calculated do the ”largeness” of n. Because ▯ is hard to deﬁne, so are the conﬁdence intervals. For this reason, the best method is