I need to include the variable portion of mixed costs with the other variable costs as well as the the fixed portion of mixed costs with the other fixed costs. I keep getting the answer wrong. Not sure what I'm doing wrong.

Now, USE the line... In the column labeled "Predicted," for each given value of quantity, what is the value on the line? This is the cost that the line "predicts." In the column labeled "Error," subtract the predicted value from the observed cost. Do NOT enter any commas--enter numerals only. Id Predicted Values and Errors for Sample Data Qty Cost Predicted 300 1,106 1100.16 Error 1 6 2 350 1,244 1250 -6 3 450 1.554 1550 4 The statistical method used to estimate the slope (and intercept) is called: simple linear regression The hypotheses for this statistical test are: Ho: bo O or 61 = 0 The p-value for the intercept is 0.09865 The p-value for the slope coefficient is 0.01783 Based on the p-value for the slope, we reject the null hypothesis Ho. Finally, suppose the data represents the cost of electricity for a Amy's business. Aside from this cost of electricity given in the hostorical data, Amy's has variable costs of $9 per unit and fixed costs of $800 per unit. If she sells her product for $20, what is her breakeven point in terms of quantity? [round to nearest whole number). What is Amy's revenue at the breakeven point? $ [Round to nearest whole dollar, and enter a comma, if necessary, but no dollar sign). Using the Line of Best-Fit At the breakeven point, estimate how much Amy's should expect to pay for its cost of electricity? $ use commas, no $). [As above: nearest dollar