Consider the Model 𝑦=𝛽0𝑥𝛽1𝜆𝜀, where 𝜀 is a random variable that follows a normal distribution with a mean of zero and a standard deviation of 𝜎, and 𝜆>0 is a constant number.

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Consider the Model 𝑦=𝛽0𝑥𝛽1𝜆𝜀, where 𝜀 is a random variable that follows a normal distribution with a mean of zero and a standard deviation of 𝜎, and 𝜆>0 is a constant number.

Please answer all parts of the question. The question is on predictive analytics and specifically about OLS estimators.

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Consider the Model 𝑦=𝛽0𝑥𝛽1𝜆𝜀, where 𝜀 is a random variable that follows a normal distribution with a mean of zero and a standard deviation of 𝜎, and 𝜆>0 is a constant number.

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Consider the Model 𝑦=𝛽0𝑥𝛽1𝜆𝜀, where 𝜀 is a random variable that follows a normal distribution with a mean of zero and a standard deviation of 𝜎, and 𝜆>0 is a constant number.

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Consider the Model 𝑦=𝛽0𝑥𝛽1𝜆𝜀, where 𝜀 is a random variable that follows a normal distribution with a mean of zero and a standard deviation of 𝜎, and 𝜆>0 is a constant number.

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Consider the Model 𝑦=𝛽0𝑥𝛽1𝜆𝜀, where 𝜀 is a random variable that follows a normal distribution with a mean of zero and a standard deviation of 𝜎, and 𝜆>0 is a constant number.