Answer:
DFE
Step-by-step explanation:
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.
To learn more about regression visit: brainly.com/question/14563186
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Answer:
see attached
Step-by-step explanation:
For x < -6, the function has a slope of -1 and an x-intercept of -6.
For x > -6, the function has a slope of 2 and an x-intercept of -6.
The function given here is not defined at x=6, so there is a hole at (-6, 0).
Step-by-step explanation:
simplify the expression into like terms
so 5a-2b-3+2b-6a (add all a and b together)
this will make
-a-3
I know how to do the equivalent sorry :(
Length of the room is 5 m and width is 5 + 2 = 7 m.
Hope this helps.
r3t40
