Answer
777
Step-by-step explanation:
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Minimizing the sum of the squared deviations around the line is called Least square estimation.
It is given that the sum of squares is around the line.
Least squares estimations minimize the sum of squared deviations around the estimated regression function. It is between observed data, on the one hand, and their expected values on the other. This is called least squares estimation because it gives the least value for the sum of squared errors. Finding the best estimates of the coefficients is often called “fitting” the model to the data, or sometimes “learning” or “training” the model.
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Answer:
A
Step-by-step explanation:
Let
x = the number of phone available
If it would require 8 more phones, then the total number of phones will be x + 8.
A company hired an additional 12 employees, and every employee needed a phone, then
x + 8 = 12
x = 4
This means 4 phones were available (and 8 more needed to total in 12 phones for 12 new employees)
Hence, correct option is option A.
<span>(-6,0) would be correct </span>
First take the amount of drinks and popcorn needed then multiply the amount by the price then see if she has enough money when you finish the multiplying.
