<image>According to the real estate data research in a city, the trend of the sales price of newly built residential buildings in 2016 is shown in the figure below. The housing price rose too quickly from March to July. In order to curb the rapid rise in housing prices, the government adopted macroeconomic control measures starting in August, and the housing prices were well controlled starting in October.

(1) The real estate data research institute found that there is a strong linear correlation between the average price per month y (ten thousand yuan/square meter) and the month x from March to July. Try to establish a regression equation of y in terms of x.
(2) If the government does not control it, predict the average sales price of newly built residential buildings in December according to this correlation.

Reference Data: \( \hat{a} = \bar{y} - \hat{b}\bar{x} \), \( b = \frac{\sum_{i=1}^{n}(x_{i} - \bar{x})(y_{i} - \bar{y})}{\sum_{i=1}^{n}(x_{i} - \bar{x})^{2}} \)
\[ \sum_{i=1}^{5}{\left(x_{i} - \bar{x}\right)\left(y_{i} - \bar{y}\right)} = 0.64, \sum_{i=1}^{5}{y_{i}} = 5.36, \sum_{i=1}^{5}{x_{i}} = 25 \]