21 Categorization 1 point On several occasions, Kurt recorded the number of people already in line when he arrived at a local deli and the amount of time elapsed between when he left for his lunch break and when he returned to his office. Using the data, Kurt made a scatter plot and found the equation of the line of best fit to be \( y=0.5 x+34.5 \), where x is the number of people already in line, and \( y \) is the elapsed time in minutes. If Kurt's lunch break is 45 minutes, would each of these numbers of people in line result in him returning to work late? Put in the category of Yes or No for each. Yes No Answers Chosen
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If Kurt's lunch break is 45 minutes, we can determine whether he would return late by plugging the number of people in line into his equation. For example, if there are 20 people in line: \( y = 0.5(20) + 34.5 = 10 + 34.5 = 44.5 \) minutes. Since 44.5 minutes is within his lunch break, he would not be late. However, if there were 22 people: \( y = 0.5(22) + 34.5 = 11 + 34.5 = 45.5 \) minutes. This means he would return late! You would judge each number of people in line the same way. Think of it like a fun prediction game - how many people can fit into 45 minutes?