To estimate the number of fraudulent credit card charges using the model \( y = 1 + 0.02x \), where \( y \) represents the estimated number of fraudulent charges and \( x \) represents the total number of charges, we can substitute \( x = 200 \) (the total number of charges) into the model.
\[ y = 1 + 0.02(200) \]
Calculating it step by step:
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Calculate \( 0.02 \times 200 \): \[ 0.02 \times 200 = 4 \]
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Now, add that result to 1: \[ y = 1 + 4 = 5 \]
Thus, the estimated number of fraudulent credit card charges out of 200 charges is 5.