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Suppose the manager of a gas station monitors how many bags of ice he sells daily along with recording the highest temperature each day during the summer. The data is plotted with temperature, in degrees Fahrenheit (degree), on the horizontal axis and the number of ice bags sold on the vertical axis. One of the plotted points on the graph is (82.67). The least squares regression line for this data is y =-192.20 + 3.13x. Determine the predicted number of bags of ice sold, y, when the temperature is 82 degree F. Round the predicted value to the nearest whole number. y = ice bags Compute the residual at this temperature. Round the value to the nearest whole number. residual = ice bags

Respuesta :

Answer:

64bags of ice were sold when the temperature is 82 degree F

Step-by-step explanation:

From the equation ; Y =-192.20 + 3.13x

where Y = predicted number of bags of ice sold

x = temperature, in degrees Fahrenheit (degree)

To find Y when x = 82

substitute the value of x in the equation given

= Y = -192.20 + 3.13(82)

Y = 64.46 and approximately, Y = 64

To Compute the residual at this temperature;

residual = 67 - 64.46= 2.53 which is approximately 3

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