The figure below is a line graph of environmental infrastructure investment $y$ (in units of 100 million yuan) from 2000 to 2016 in a certain region. To predict the environmental infrastructure investment in 2018 for this region, two linear regression models for $y$ and time variable $t$ were established. Based on data from 2000 to 2016 (time variable $t$ takes values $1,2 , \cdots , 17$ respectively), Model (1) was established: $\hat { y } = - 30.4 + 13.5 t$. Based on data from 2010 to 2016 (time variable $t$ takes values $1,2 , \cdots , 7$ respectively), Model (2) was established: $\hat { y } = 99 + 17.5 t$. (1) Using each of these two models, find the predicted value of environmental infrastructure investment for 2018 in this region; (2) Which model's prediction do you think is more reliable? Explain your reasoning.
The figure below is a line graph of environmental infrastructure investment $y$ (in units of 100 million yuan) from 2000 to 2016 in a certain region.
To predict the environmental infrastructure investment in 2018 for this region, two linear regression models for $y$ and time variable $t$ were established. Based on data from 2000 to 2016 (time variable $t$ takes values $1,2 , \cdots , 17$ respectively), Model (1) was established: $\hat { y } = - 30.4 + 13.5 t$. Based on data from 2010 to 2016 (time variable $t$ takes values $1,2 , \cdots , 7$ respectively), Model (2) was established: $\hat { y } = 99 + 17.5 t$.\\
(1) Using each of these two models, find the predicted value of environmental infrastructure investment for 2018 in this region;\\
(2) Which model's prediction do you think is more reliable? Explain your reasoning.