o Radar spider web thing Can you interpret it o Bubbleswe all love bubbles Love

# O radar spider web thing can you interpret it o

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o Radar- spider web thing. Can you interpret it? o Bubbles—we all love bubbles. Love bubbles. When can you tell statistical significance from this chart? Can you at all? o Scatterplots—read about them. When should you use a trend line? What truly is a trend line? When don’t you really need one? o What does a box and whisker look like? Meow. Stats o R-squared: What is it specifically? It gives us a piece of information that is important. What is that information? o Make sure you understand the difference among R, R^2, and a correlation coefficient. A correlation coefficient tells us about linear dependence. Focus on correlation, not linear dependence. R^2 gives us a picture of ‘fit’. What is R? Use math. o F-distribution- we’re comparing more than one group via a mean. Remember that there are numerators and denominators (it’s a ratio). When is the F-ratio significant? i.e. can you use the table? o Null hypothesis—remember what I said? Null=nothing. That’s your hint. o Pearson’s coefficient table—I think that you should be able to read it. o Type I and Type II errors—know what they mean. Not too difficult. Random: o Net profit margin—basic. Just calculate it.

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