To find the variance of the new random variable $Y = 2X + 1$, we use the properties of variance.
Step 1: Recall the variance transformation rule for linear functions:
For any random variable $X$ and constants $a$ and $b$,
\[
\mathrm{Var}(aX + b) = a^2 \mathrm{Var}(X).
\]
The constant term $b$ does not affect the variance because it only shifts the distribution without changing its spread.
Step 2: Identify the constants:
Here,
\[
a = 2, \qquad b = 1, \qquad \mathrm{Var}(X) = 0.2.
\]
Step 3: Apply the formula:
\[
\mathrm{Var}(Y) = (2)^2 \times 0.2 = 4 \times 0.2 = 0.8.
\]
Step 4: Rounding off:
The value is already at one decimal place.
Thus, the variance of $Y$ is:
\[
\boxed{0.8}.
\]