1 is B.
2 is x > 3
4 is d+0.06d
I don't know 3, but I'll ask it for you, since you don't have many points.
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:
The answer isn't in the options anyway I'll write it. the answer is 46.
Step-by-step explanation:
According to BODMAS rule - addition should be done first so
4+36= 40 and -3 +7 = 4 so 40+4 ,= 44
then we should do subtracting so, 10-8 = 2
to conclude we should bring the equation to an end so,
44+2 = 46
HOPE THIS HELPS YOU
The answer would be 317d or you could
do 317(d)