Answer:
Kindly check explanation
Step-by-step explanation:
Given the following :
Equation of regression line :
Yˆ = −114.05+2.17X
X = Temperature in degrees Fahrenheit (°F)
Y = Number of bags of ice sold
On one of the observed days, the temperature was 82 °F and 66 bags of ice were sold.
X = 82°F ; Y = 66 bags of ice sold
1. Determine the number of bags of ice predicted to be sold by the LSR line, Yˆ, when the temperature is 82 °F.
X = 82°F
Yˆ = −114.05+2.17(82)
Y = - 114.05 + 177.94
Y = 63.89
Y = 64 bags
2. Compute the residual at this temperature.
Residual = Actual value - predicted value
Residual = 66 - 64 = 2 bags of ice
Answer:
15
Step-by-step explanation:
the triangles are similar so will be the same proprotion,
I have attached a picture showing how I solved this. the second traingle is 3 times as large (15 by 12) compared to the first triangle which is 4 by 5.
Answer:
A
Step-by-step explanation:
because it is a straight line locate at x = 6 that pass to every y coordinate, so it pass -8 too.
Answer:
$ 0.8.
Step-by-step explanation:
1) if to assume, 'c' - price of the coffee and 'd' - price of the doughnuts, then
2) it is possible to write the equation 1 (when five MinB enter): 3d+5c=3.3;
3) it is possible to write the equation 2 (when three aliens entered): 4d+3c=2.75;

5) if c=0.45 and d=0.35, then Ag.Z. paid 0.35+0.45=$ 0.8.