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:
7 gal 3 qt is 31 quarts.
Step-by-step explanation:
Given:
7 gal 3 qt to quarts.
Now, convert the measurement as indicated.
So, the value of 1 gallon = 4 quarts.
Thus , the 7 gal(gallons) = 7 × 4 = 28 quarts.
And 3 qt (quarts) = 3 × 1 = 3 quarts.
So,
Therefore, 7 gal 3 qt is 31 quarts.
first and second part put 0.75, then multiply 0.75 by 2 to get 1.50, then write in the third part 1 and 1/2
hope this helps
Answer is in the photo. I can't attach it here, but I uploaded it to a file hosting. link below! Good Luck!
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