Problem 10-35 Comprehensive Variance Analysis (LO2, LO3, L04] Marvel Parts Inc. manufactures auto accessories. One of the company's products is a set of seat covers that can be adjusted to fit nearly any small car. The company has a standard cost system in use for all of its products. According to the standards that have been set for the seat covers, the factory should work 1,040 hours each month to produce 2,080 sets of covers. The standard costs associated with this level of production are as follows: Per Set of Covers $19.50 3.50 Total $ 40,560 $ 7,280 Direct materials Direct labour Variable manufacturing overhead (based on direct labour-hours) $ 4,160 2.00 $25.00 During August, the factory worked only 600 direct labour-hours and produced 1,800 sets of covers. The following actual costs were recorded during the month: Direct materials (5,000 yards) Direct labour Variable manufacturing overhead Total $ 34,200 $ 6,660 $ 4,140 Per Set of Covers $ 19.00 3.70 2.30 $ 25.00 At standard, each set of covers should require 2.50 yards of material. All of the materials purchased during the month were used in production. Dequired. production. Required: 1. Compute the materials price and quantity variances for August. (Input all amounts as positive values. Indicate the effect of each variance by selecting "F" for favorable, "U" for unfavorable, and "None" for no effect (i.e, zero variance).) Materials price variance Materials quantity variance 2. Compute the labour rate and efficiency variances for August. (Input all amounts as positive values. Indicate the effect of each variance by selecting "F" for favorable, "U" for unfavorable, and "None" for no effect (ie, zero variance).) Labour rate variance Labour efficiency variance 3. Compute the variable overhead rate and efficiency variances for August. (Input all amounts as positive values. Indicate the effect of each variance by selecting "F" for favorable, "U" for unfavorable, and "None" for no effect (i.e, zero variance).) Variable overhead rate variance Variable overhead efficiency variance