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(Click the icon to view the budgeted and actual results.) Requirement Compute the total sales-volume variance, the total sales-mix variance, and the total sales-quantity variance. (Calculate all variances in terms of contribution margin.) Show results for each product in your computations. Data table Begin by calculating the budgeted contribution margin for each product and in total. (Enter the sales mix as a whole number, X% Now calculate the actual contribution margin for each product and in total. (Enter the sales mix as a whole number, X%.) \begin{tabular}{lccccc} & Selling & Variable Cost & CM per & Units \\ & Price & per unit & unit & Sold & Mix \\ \hline Duma & & & \end{tabular} Determine the formula for sales-volume variance, then compute the sales-volume variance for each type of sunglasses and in total for Rayban in 2017. Label each variance as favorable (F) or unfavorable (U). (Enter all variances as positive numbers. Abbreviation used: qty = quantity.) The total sales-volume variance is Now compute the total sales-mix variance. (Calculate all variances in terms of contribution margin.) Show results for each product in your computations. Now determine the formula for the sales-mix variance, then calculate the variance for each type of sunglasses and in total for 2017 . Label each variance as favorable (F) or unfavorable (U). (Enter any percentages as a whole number. Enter all variances as positive numbers. Abbreviations used: CM= contribution margin; VC= variable cost. ) DumaKool(1%1%(%%=%) The total sales-mix variance is Compute the total sales-quantity variance. (Calculate all variances in terms of contribution margin.) Show results for each product in your computations. Let's first determine the formula for the sales-quantity variance, then calculate the variance for each type of sunglasses and in total for 2017 Label each variance as favorable (F) or unfavorable (U). (Enter percentages as a whole number. Enter all variances as positive numbers. Abbreviation used: CM= contribution margin.) The total sales-quantity variance is