Make a scatterplot of the data. Use the year on the horizontal scale and the number of ounces on the vertical scale. Available Drink Sizes at a Conven

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

Find the linear regression line for a scatterplot formed by the points (10, 261), (21, 252), (42, 209), (33, 163), and (52, 98). Round to the nearest tenth.

Answer true or false to the following statements and explain your answers.
a. In multiple linear regression, we can determine whether we are extrapolating in predicting the value of the response variable for a given set of predictor variable values by determining whether each predictor variable value falls in the range of observed values of that predictor.
b. Irregularly shaped regions of the values of predictor variables are easy to detect with two-dimensional scatterplots of pairs of predictor variables, and thus it is easy to determine whether we are extrapolating when predicting the response variable.

What kind of plot is useful for deciding whether it is reasonable to find a regression to find a regression plane for a set of data points involving several predictor variables?

For each topic, decide which type of association a scatterplot of the data would likely show. Explain your choice.
Outdoor temperature and layers of clothing

Given a scatterplot for a set of data, how can you draw an accurate trend line?

Make a scatterplot for the data in the table below.
Height (in.): 77 75 76 70 70 73 74 74 73
Weight (lb): 230 220 212 190 201 245 218 260 196