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
The <u>probability</u> that a point <u>chosen at random</u> in the triangle is also in the blue square can be calculated using <u>geometrical definition of the probability</u>:

1. Find the total area of the triangle:

2. Find the desired area of the square:

Then the probability is

Answer: correct choice is B
Hey !
I am going to explain what I did to get the answer...
I multiplied $29,160 by 30 = $874,800
Then I multiplied $84,460 by 30 = $2,533,800
Then I subtracted the results = a difference of $1,659,000
So the answer to your question is, $1,659,000 is the difference.
I hope I was able to help you out :D <span />
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Answer:
(A) and (D)
Step-by-step explanation:
It is given that Three basketball teams measured the height of each player on their team.
Team Mean height (cm) MAD (cm)
Bulldogs 165 6.9
Panthers 177 7.1
Warriors 176 4.8
From the information given, The heights of the Bulldogs’ players vary more than do the Warriors’ heights and The heights of the Panthers’ players and those of the Warriors vary about the same amount.
Therefore, option A and d are the correct statements about the data given.