$[$Bias$-$Variance Tradeoff$](7$ pts$)$ Suppose we have an L$2-$regularized linear regression

model, which has loss L$(\backslash$beta $)=1$

n

n

i$=1$

$($f$\backslash$beta $($xi$)$yi$)2+\backslash$lambda $\backslash |\backslash$beta $\backslash |2$

$2.$ For each of the following,

indicate whether it tends to increase bias, decrease bias, or keep bias the same, and

similarly for variance:

A$)$ Decrease the number of training examples n

B$)$ Increase the regularization parameter $\backslash$lambda

C$)$ Decrease the dimension d of the features $($x$)$ in R