1.) you have to subtract 6 from both sides to get rid of 6
2.) 11 minus 6 is 5
3). this leaves you with y = 5
There were 5 of the 15 in the simulation that used a coupon. To find the probability you just divide 5 by 15
P(=>4) = 5/15 = 1/3 - probability of 4 or more
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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Slope = 0
⇒ It is a horizontal like that cuts through the y-axis
At point (5, -8), y = -8
The equation of the line is y = -8
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Answer: y = -8
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5 x 3n = 15n
^ This is your answer to your question ^
