How do you interpret a coefficient of determination, r, equal to 0.91? ...... Choose the correct answer below. A. The interpretation is that 0.09% of the variation in the dependent variable can be explained by the variation in the independent variable. B. The interpretation is that 0.91% of the variation in the independent variable can be explained by the variation in the dependent variable. C. The interpretation is that 9% of the variation in the independent variable can be explained by the variation in the dependent variable. D. The interpretation is that 91% of the variation in the dependent variable can be explained by the variation in the independent variable.

Using the same data and information. Please answer this: Should you be encouraging or discouraging credit card sales? In answering this question, consider the following: Is the proportion of credit and non-credit sales significantly different? (a=.05) Is the average sale amount for credit sales different than the average sales amount for non-credit sales? (a=.05)

Is parameter proportion the same as statistical proportion. so lets say the statistical proportion is 0.49. Would the parameter proportion be 0.49 as well ?

ixd s 67 Dr 5. Find the percentage of data points that lie above z 1.03. Draw a picture to support your work.

Determine the percent of data greater than z=−1.50. The percent of data greater than z=−1.50 is

Do you think the mean:44.19 or the median:30 better represents the data? Explain your reasoning

Using the coefficient of variation, how much (%) do these data sets vary? (rounding to the nearest percent) Data Set 1: ¯x¯=12 and s=7 Data Set 2: ¯x¯=0.12 and s=0.3.

your car is more crowded than you think.  table 5.8 reports results from a 1969 personal transportation survey on "home-to-work" trips in metropolitan areas. The survey stated that the average car occupancy was 1.4 people. check that calculation.