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:
50%
Step-by-step explanation:
duhh, sorry this one just very obvious
Answer:
A
Step-by-step explanation:
74,000 x .48 = 35520. 35520 is the amount of property you have to pay for.
35520 x 0.031 = 1,101.12. 1.101.12 is the amount you owe in property tax.
First two are scalene last one is isosceles.
Answer:
A is the correct answer
Step-by-step explanation:
