Answer the question based on the following R output

Call:

lm(formula = y ~ x)

Residuals:

1 2 3 4 5

-5.2906 2.0961 2.1182 1.5271 -0.4507

Coefficients:

Estimate Std. Error t value Pr(>|t|)

(Intercept) 18.3128 3.3890 5.404 0.0124 *

x 0.7956 0.4022 1.978 0.1423

---

Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Residual standard error: 3.624 on 3 degrees of freedom

Multiple R-squared: 0.566, Adjusted R-squared: 0.4213

F-statistic: 3.913 on 1 and 3 DF, p-value: 0.1423

4) What proportion of variability in Y is explained by X? (format: 3 digits after the dot, round if needed).