In the "model equation" $X _ { y } = \mu _ { i } + \varepsilon _ { y } { } ^ { \prime } s$ are assumed to be independent and normally distributed random variables with mean of 0 and standard deviation of $\sigma$ for every i and j. Then the mean and variance of $X _ { y }$ are __________ and __________, respectively.

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The Answer of In the "model equation" $X _ { y } = \mu _ { i } + \varepsilon _ { y } { } ^ { \prime } s$ are assumed to be independent and normally distributed random variables with mean of 0 and standard deviation of $\sigma$ for every i and j. Then the mean and variance of $X _ { y }$ are __________ and __________, respectively.

In the "Model Equation Xy=μi+εy′sX _ { y } = \mu _ { i } + \varepsilon _ { y } { } ^ { \prime } sXy​=μi​+εy​′s

In the "Model Equation $X _ { y } = \mu _ { i } + \varepsilon _ { y } { } ^ { \prime } s$