Suppose that you are interested in buying a new GMC Sonoma pickup truck at a super weekend sale. You see a list price of $14, 500 on one particular model with some extra options, and you wonder what the dealer invoice price (cost for the dealer) is for this truck so that you can compare the sale price with the invoice price and maybe negotiate an even better deal. The following information is based on data from Consumer’s Digest (vol. 36, no. 1).
Let x be the sale list price (in thousands of dollars) for the given truck. X 11. 6 11. 9 21. 7 13.
0 15. 1 16. 7 17. 9 19. 8 Y 10. 9 11.
2 17. 5 11. 8 13. 6 15.
8 16. 0 17. 1 e) The truck that interests you has a list price of 14. 5 thousand dollars. What does the least squares line forecast for the y = dealer invoice price (in thousands of dollars)? Y = . 7107 (14, 500) + 2.
8923 = $10, 308. 04 f) Find a 75% confidence interval for the forecast y value of part e. = $10, 300. 94 – $10, 315. 14. In this problem, a scatter plot and table displaying mean, standard deviation, and sums for the data given, was created.
From this information, one could gain a range that could be used to bargain with. Suppose that you are interested in buying a new GMC Sonoma pickup truck at a super weekend sale. You see a list price of $14, 500 on one particular model with some extra options, and you wonder what the dealer invoice price (cost for the dealer) is for this truck so that you can compare the sale price with the invoice price and maybe negotiate an even better deal. The following information is based on data from Consumer’s Digest (vol. 36, no.
The Essay on The Rising Price of Food
Recent years have seen dramatic increases in the world prices for food commodities. The first half of the year 2008 saw the price of rice go up by 50% and generally speaking, similar increases in other food commodities such as maize, soybeans and wheat have been seen across the world, resulting in various forms of panic. In the Philippines, farmers have begun hoarding supplies of rice, while ...
1).
Let x be the sale list price (in thousands of dollars) for the given truck. X 11. 6 11. 9 21. 7 13.
0 15. 1 16. 7 17. 9 19. 8 Y 10.
9 11. 2 17. 5 11. 8 13. 6 15. 8 16.
0 17. 1 e) The truck that interests you has a list price of 14. 5 thousand dollars. What does the least squares line forecast for the y = dealer invoice price (in thousands of dollars)? Y = . 7107 (14, 500) + 2. 8923 = $10, 308.
04 f) Find a 75% confidence interval for the forecast y value of part e. = $10, 300. 94 – $10, 315. 14. In this problem, a scatter plot and table displaying mean, standard deviation, and sums for the data given, was created. From this information, one could gain a range that could be used to bargain with..
