a. use technology to create a scatterplot, to determine the best t line, and to compute r for the entire data set. b. repeat (a), but with the data set obtained by removing the starred (***) data points. c. compare the r-values from (a) and (b), as well as the slopes of the best t lines. Comment on any differences, whether they are substantive, and why this seems reasonable.

Statistics First we did a warmup in class: A 90% confidence interval is an interval estimate for a ________ using a procedure which will capture the parameter 95% of the time. HYPOTHESIS TEST -We are seeing if our data is strong enough to rule out chance -To first setup a hypothesis test you should have a: Null Hypothesis: Ho =Both are about the population Alternative Hypothesis: Ha *Logic: We give Ho the benefit of the doubt to see if our results could have happened by chance. (This is like in a court case: INNOCENT UNTIL PROVEN GUILTY) example: We are going to test if more than 15% of Ithaca College students drank coffee today. So……