How can two variables be displayed in a scattergram?

Unusual points Each of the four scatterplots that follow shows a cluster of points and one “stray” point. For each, answer these questions:
1) In what way is the point unusual? Does it have high leverage, a large residual, or both?
2) Do you think that point is an influential point?
3) If that point were removed, would the correlation be- come stronger or weaker? Explain.
4) If that point were removed, would the slope of the re- gression line increase or decrease? Explain

Which set of ordered pairs could be generated by an exponential function? a. (0, 0), (1, 1), (2, 8), (3, 27) b. (0, 1), (1, 2), (2, 5), (3, 10) c. (0, 0), (1, 3), (2, 6), (3, 9) d. (0, 1), (1, 3), (2, 9), (3, 27)

Match each verbal statement with the value o fQCR U best matches. Drawing sample scatter plots might help you decide QCR values: -1 0 0.33 0.81 1. a. Mrs. A Every student who was below average on test 1 was also below average on test 2. Every student who was above average on test 1 was also above average on test 2." b. Ms. B: "Most of the students who were below average on test 1 were below average on test 2. Similarly, most of the students scoring above average on test 1 were also above average on test 2. There were a few exceptions, but the trend was clear." c. Mr. C: "Wow, there was really no correlation between test 1 and test 2! half the students who were below average on the first test were also below average on the second test, but half were above average! The same was true for the above average students!" d. Mr. D: "This is so weird. Every student who was below average on test 1 was above average on test 2, and vice versa." e. Mr. E: "Of those scoring above average on test 1, about 60% were above average on test 2, but 40$ were below average."

Use a scatterplot and the linear correlation coefficient r to determine whether there is a correlation between the two variables.
$$\begin{array}{|cccccc|}\hline x& 1& 0& 5& 2& 3\\ y& 3& 1& 15& 6& 8\\ \hline\end{array}$$

Sketch a scatterplot showing data for which the correlation is r = -1.

Make a scatterplot for each set of data.
Hits: 7 8 4 11 8 2 5 9 1 4
Runs: 3 2 2 7 4 2 1 3 0 1

Using the daily high and low temperature readings at Chicagos