In the scenario above, the data analysts decide to regress level of income (predictor metric) on monthly food expenditure (expressed in units of $10). The analysts find a regression coefficient of b = 8.7. What does this mean? This means that the income does not predict food expenditure. This means that for every (one) greater unit of income, on average $87 more per month is spent on food. This means that for every (one) greater unit of income, on average $8.7 per month more is spent on food. This means that it remains unclear whether income predicts food expenditure. I don't know