For an automobile company's data set, an analyst was saddled with the task of creating the correct pricing of their product based on variables like ear's size, engine specifications, braking and gear systems, cte. On runining a regression analysis, they found an unexpected bias in the results for continuous variables over castegorical variables. They immediately realised their mistake and decided to normalise the data before re$-$running the analysis. What do you think was the impact of this ehange on the R$-$squared value of the product?

Increased

Decreased

No change