Difference between testing
For a linear model y = beta0 + beta1 x1 + beta2 x2 + beta3 x3 + beta4 x4 + e, what is the difference between testing H0: beta1 = beta2 and testing H0: beta1 = beta_2 = 0
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As the confidence level increases, while ME stays the same, does the required sample size increase, decrease, or stays the same?
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