As part of the development of a decomposition model, you've been tasked with deseasonalizing the data and developing a linear trend projection. Use the data below to answer the following questions.

Time Year Quarter Data

$12021133\mathrm{.}4$

$22021246\mathrm{.}6$

$32021332\mathrm{.}7$

$42021435\mathrm{.}5$

$52022141\mathrm{.}2$

$62022257\mathrm{.}5$

$72022359\mathrm{.}7$

$82022449\mathrm{.}1$

$92023163$

$102023274\mathrm{.}5$

$112023367\mathrm{.}8$

$122023463\mathrm{.}9$

Using the data and the seasonal indices $($provided below$),$ calculate deseasonalized data values and fill them into the table below.$$Round all deseasonalized values to$$one decimal place.

Seasonal Indices:$$I$1=1=0\mathrm{.}9768,$I$2=2=1\mathrm{.}162,$I$3=3=0\mathrm{.}9936,$I$4=4=0\mathrm{.}8676$

Using Excel $($or another program$)$ and the rounded deseasonalized values from a$.$ above, develop a linear trend projection model. Round the intercept and slope coefficients to two decimal places.

Intercept $=$

Slope $=$