Several studies have shown that the more time shoppers spend online the more they will purchase form online retailers. An online retailer wants to study the relationship between a person's age and the number of minutes they spend browsing online each week. The data is

Age	Browsing Time (minutes/week)
27	529
41	441
63	172
56	327
24	518
20	429
61	271
30	524
24	554
18	427
52	377
31	325
20	394
61	223
16	351

• Which variable is the explanatory variable? Enter "age" or "browsing time" in blank #1.
• Which variable is the response variable? Enter "age:" or "browsing time" in blank #2.
• In blank #3, enter the correlation coefficient. (Round your answer to 4 decimals and enter your answer as 0.1234, not .1234)
• In blank #4 enter the slope of the regression line. (Round your answer to 2 decimals.)
• In blank #5 enter the y-intercept of the regression line. (Round your answer to 2 decimals.)
• In blank #6 enter the coefficient of determination. (Enter your answer as a decimal, rounded to 4 decimal places and enter your answer as 0.1234, not .1234.)
• In blank #7 enter the standard error of the estimate. (Round your answer to 2 decimals.)