Answer:
Hey this isn’t the answer, sorry
Step-by-step explanation:
I just need this answer to so let me know if you get the answer Thank you
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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The answer is C) 0.04 becuase the 4 is in the hundredths place
Answer:
x=7
Step-by-step explanation:
Find slope first
m is undefined- so it is a vertical line
x=7
