C The table shows the numbers of new-vehicle sales (in thousands) in the United States for Company A and Company B for 10 years. The equation of the regression line is y = 0.986x + 1,230.79. Complete parts (a) and (b) below. New-vehicle sales (Company A), x 4,129 3,882 3,572 3,407 3,271 3,084 2,826 2,479 1,964 2,066 New-vehicle sales (Company B), y 4,887 4,835 4,800 4,749 4,632 4,439 4,698 3,808 2,947 2,763 i me cueniceinL OI GetIIInauon Is tie Iracuun of tie variauon in new-venice Sales for Company D uiat can be explained by tie variauon In new-venue sales for Company A and is represented by 2 The remaining fraction of the variation, 1-, is unexplained and is due to other factors or to sampling error. (b) Find the standard error of estimate s. and interpret the result. Se = ] (Round to three decimal places as needed.) How can the standard error of estimate be interpreted? The standard error of estimate of the new-vehicle sales for for of new-vehicle sales for is about s. The table shows the amounts of crude oil (in thousands of barrels per day) produced by a certain country and the amounts of crude oil (in thousands of barrels per day) imported by the same country for seven years. The equation of the regression line is y = - 1.131x + 15,889.06. Complete parts (a) and (b) below. Produced, x 5,842 5,655 5,611 5,373 5,190 5,153 5,004 Imported, y 9,314 9,171 9,680 10,004 10,100 10,126 10,035 I ne fraction of the variation in the amount of | imported crude oil | that can be explained by the variation in the amount Of | produced crude oil | IS The remaining fraction 1- of the variation is unexplained and is due to other factors or to sampling error. (b) Find the standard error of estimate s. and interpret the result. se =thousands of barrels per day (Round to three decimal places as needed.) How can the standard error of estimate be interpreted? The standard error of estimate of the amount of is about S