Please answer the following four questions and explain why, thanks

(The following information applies to the questions displayed below.) Preble Company manufactures one product. Its variable manufacturing overhead is applied to production based on direct labour-hours, and its standard costs per unit are as follows: Direct materials: 5 kg at $7.00 per kg Direct labour: 3 hours at $16 per hour Variable overhead: 3 hours at $4 per hour $ 35.00 48.00 12.00 Total standard cost per unit $ 95.00 The company planned to produce and sell 30,000 units in March. However, during March the company actually produced and sold 34,000 units and incurred the following costs: a. Purchased 175,000 kg of raw materials at a cost of $6.80 per kg. All of this material was used in production. b. Direct labour: 71,000 hours at a rate of $17 per hour. c. Total variable manufacturing overhead for the month was $340,090. 1. What is the materials price variance for March? (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 2. What is the materials quantity variance for March? (Indicate the effect of each variance by selecting "F" for favorable, "U" for unfavorable, and "None" for no effect (i.e., zero variance.).) Materials quantity variance 3. If Preble had purchased 186,000 kg of materials at $6.80 per kg and used 175,000 kg in production, what would be the materials price variance for March? (Indicate the effect of each variance by selecting "F" for favorable, "U" for unfavorable, and "None" for no effect (i.e., zero variance.). Do not round intermediate calculations.) Materials price variance 4. If Preble had purchased 186,000 kg of materials at $6.80 per kg and used 175,000 kg in production, what would be the materials quantity variance for March? (Indicate the effect of each variance by selecting "F" for favorable, "U" for unfavorable, and "None" for no effect (i.e., zero variance.). Do not round intermediate calculations.) Materials quantity variance