No, the answer is 2
X=2
This is because if we multiply the number by x which is 2
so DST is 110, and RSD is 44, so that is 154, and if we do it with RST we also get 154
So the correct answer is X=2
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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The answer for your question is x=-1
Answer:
18
Step-by-step explanation:
