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so today in section 9.1 were basically going to take everything that we learned about correlation and regression back in chapter 2. and then were going to take everything we know about doing statistical inference and were going to kind of mash them up together so were going to do inference for slope and correlation so first were going to just review a little bit some of the stuff that we learned back in chapter 2. and you might remember we already looked at this example back in chapter 2. we wanted to know if you could estimate the temperature on a summer evening just by listening to crickets chirp and so to do that we were going to examine this relationship between two quantitative variables and whats the very first thing that we always always do with our set of data graph it exactly um and so the type of graph whats the type of graph that we use to look at two quantitative variables perfect scatter plot okay so um were going to do a graph and the graph were going to use is