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11m Followers, 638 Following, 2,143 Posts See Instagram photos and videos from K A T H R Y N & K E N D R A🍎🍊🍏 (@kk_fit_)Consider the multiple regression model y n × 1 = X n × (k 1) β (k 1) × 1 u n × 1, which we assume to be correct The columns of n × (k 1) matrix X are linearly independent We denote the linear combination of columns of X that is the closest prediction for y by b y That is the difference b u = yb y is such that it is the smallest0, otherwise In our coinflipping context, when consecutively flipping the coin exactly n times, p(k) denotes the probability that exactly k of the n flips land heads (and hence exactly n−k land tails) A simple computation (utilizing X = X 1 ···X 1 Palabras k yeben ñ