Let x ∈ r n×p be a n × p matrix and y ∈ r n . the gaussian linear model with known variance σ 2 > 0 is defined as p = {normaln(xθ, σ2 in) | θ ∈ r p } , where normaln denotes the n-variate gaussian distribution. (a) prove that θ is identifiable if and only if x has full column rank

What is true about the dilation? it is a reduction with a scale factor between 0 and 1. it is a reduction with a scale factor greater than 1. it is an enlargement with a scale factor between 0 and 1. it is an enlargement with a scale factor greater than 1.

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The boiling point of water at an elevation of 0 feet is 212 degrees fahrenheit (°f). for every 1,000 feet of increase in elevation, the boiling point of water decreases by about 2°f. which of the following represents this relationship if b is the boiling point of water at an elevation of e thousand feet? a) e = 2b - 212 b) b = 2e - 212 c) e = -2b + 212 d) b = -2e + 212