The firm's cost equation would be specified as: (A) $2,163.80x+$0.19 (B) $0.19x+$1.426.35 (C) $0,19x+$2,163,80 $1,426.35x+$2,163,80 Question 2 When inputing values to run a regression analysis, the axis would be based on costs or expenses and the axis would be based on volume or activity, respectively. X,Y Y,X x,x (D) Y,Y The R-Square is: Question 4 The R-Square represents the Goodness of Fit-that is, how well the regression line would fit the data points. Based on the value of the R-square, how would you interpret the goodness of fit? The R-Square/goodness of fit is very reliable. (B) The R.Square/goodness of fit does not exist at all. (C) The R-Square/goodness of fit is a low value and not very reliable. (D) The R-Square/goodness of fit is somewhat reliable. The p-value indicates the significance of the independent variable X. The X variable, indicated as X variable 1 , has a -value of 0.09. This value indicates a highly significant x variable. an insignificant x variable. a marginally significant x variable. a highly significant y variable. Question 6 Predict a van operating costs at a volume of 16.000 miles assuming the company would use the cost equation from the Excel regression regardless of its R-squared. The total operating costs at a volume of 16,000 would be \$3,040. True False Additional question: The X Variable 1 also L referred to as the slope True False Question 8 Compared to the high-low method, regression analysis considers every data point, not just the high- and low-volume data points, when forming the best fitting line. The highest value an R-Square can be is .90 or 90% in any type of regression problem. True False