Linear Regression Equation: Parameter Estimate Intercept 3.232 Slope (Protein (g)) 0.05717 Model Summary: Statistic Value Correlation Coefficient r 0.782 Coefficient of Determination r2 61.2% Residual Standard Deviation 0.2915 Statistics: Variable n Mean Std. Dev. Min. Q1 Median Q3 Max. Price (USD) 15 4.463 0.451 3.890 3.990 4.390 4.890 5.090 Protein (g) 15 21.53 6.17 9.00 18.50 20.00 24.50 36.00 the best interpretation of the slope of the line of best fit. Choose the best interpretation of the slope of the line of best fit. When the price of the sandwich is zero dollars, then it is predicted that there will be an average of 0.06 grams of protein in the sandwich. When there is no protein in the sandwich the cost will be $3.23. For every increase in 1 dollar in the price of a sandwich it is predicted that there will be an average increase of 0.06 grams of protein in the sandwich. For every increase in 1 gram of protein it is predicted that there will be an average increase $0.06 in the price of the sandwich. When the price of the sandwich is zero dollars, it is predicted that there will be an average of 3.23 grams