The sales of a company (in million dollars) for each year shown in the table below (25) X(year) 2005 2006 2007 2008 2009 Y (sales) 12 19 39 37 45 a. Find the regression line of the data. Draw the inference about the dataset. b. Use the regression line as a model to estimate the sales of the company in 2012.

The scatter plot shows the relationship between the number of minutes studying for a test (x) and the number of mistakes made (y). The graph shows the scatterplot of the data and a fitted line. 19+ 18 17 16 15 14 13 12 10 4 -10 10 20 30 40 50 60 70 80 90 100 lio a2 Select True or False for each statement based on the scatter plot. True/False There is a negative association between the amount of time studying for a test and the number of mistakes made. True False Students who studied for a longer period of time tended to make more mistakes. True False There is a linear association between time True False studying and number of mistakes.

10) Using advertised prices for used Ford Escorts a linear model for the relationship between a car's age and its price is found. The regression has an R2-87.4%. Write a sentence summarizing what R2 says about this regression. A) The age of the car explains 9.35% of the variation in price. B) The price of the car explains 12.6% of the variation in age. C) The age of the car explains 87.4% of the variation in price. D) The price of the car explains 87.4% of the variation in age. E) The age of the car explains 12.6% of the variation in price. Solve. Round to two decimal places if necessary. 11) At one college, 68% of students have credit cards. A credit card company, looking for new customers, sets up a booth at the college. If they pick students at random, how many students should they expect to talk to before finding one who does not have a credit card? A) 32 B) 3.13 D) 68 C) 0.32 E) 1.47

The data show the chest size and weight of several bears. Find the regression​ equation, letting chest size be the independent​ (x) variable. Then find the best predicted weight of a bear with a chest size of 58 inches. Is the result close to the actual weight of 572 ​pounds? Use a significance level of 0.05.   Chest size​ (inches) 46 57 53 41 40 40   Weight​ (pounds) 384 580 542 358 306 320   LOADING... Click the icon to view the critical values of the Pearson correlation coefficient r. What is the regression​ equation?   y=nothing+nothingx ​ (Round to one decimal place as​ needed.)