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$$ y = u_i + \varepsilon_{ij} \tag{1} $$ | $$ y = u_i + \varepsilon_{ij} \tag{1} $$ | ||
</p> | </p> | ||
+ | <p>In the equation (1), \(y\) is the dependent variable, the change of the microtubule's length. \(y_{ij}\) is the \(j\) observed value of the independent variable under the \(i\) level. is the mean of dependent variable under the \(i\) level. stands for the residual between dependent variable’s value and it’s mean value, also obey the normal distribution \(N(0, \sigma_i ^2)\)</p> | ||
</body> | </body> | ||
</html> | </html> |
Revision as of 08:14, 7 October 2017
$$ y = u_i + \varepsilon_{ij} \tag{1} $$
In the equation (1), \(y\) is the dependent variable, the change of the microtubule's length. \(y_{ij}\) is the \(j\) observed value of the independent variable under the \(i\) level. is the mean of dependent variable under the \(i\) level. stands for the residual between dependent variable’s value and it’s mean value, also obey the normal distribution \(N(0, \sigma_i ^2)\)