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Charlie’s friend is visiting from Texas and asked him, “What does a hamburger cost in this town?” This caused Charlie to wonder, because the price of a hamburger seems to be different at every restaurant. Charlie thinks there may be an association between the amount of meat in the patty and the cost of the hamburger. He collected the following data.

Meat (oz)


A first quadrant scatterplot and line of best fit with Meat in ounces labeled on the x axis scaled from 0 to 12 and Cost in Dollars labeled on the y axis scaled from 0 to 10. The LSRL is given as y = 0.253 + 0.735x. There are 6 points above the line, 8 points below the line, and the point (4, comma 3.3) is on the line.

  1. Interpret the slope and -intercept in context. Does the -intercept make sense in this situation?

    The slope means that for every increase of ounce in the patty size you can expect to see a specific price increase. The -intercept would be the cost of the hamburger with no meat.

    For every increase of ounce in the patty size there is a price increase of . The -intercept of would be the cost of the hamburger with no meat. The -intercept seems low for the cost of the bun and other fixings, but is not entirely unreasonable.

  2. What is the residual for the hamburger with the -ounce patty? What does it mean in context?

    Calculate the predicted cost of a ounce patty and subtract it from the actual cost of a ounce patty.

    One would expect to pay for a burger with a oz patty while the cost of the given oz patty is , so it has a residual of . The oz burger costs more that predicted by the graph.

  3. Charlie’s friend says that in his home town he can buy a pound hamburger for . Would this be a reasonable price in Charlie’s town? Show how you know.

  • pound = oz Follow the same steps as part (b) to find the answer.