<span>The predicted productivity equation is 2.0 + .5 * Experience + .2 * aptitude score . Then we can use the slope coefficients to figure this out. Jack gains .5 *.3 from his extra three months and Jill has gained from her extra 20 points on the aptitude test .2 * 20 = 4 . Then we have that 4 – 1.5 = 2.5 thus Jill is predicted to be more productive than Jack. Thus the answer is b.</span>
<span>Sebadoah should decrease his supply expense to 1,100 for the month of February. The extra $100 is just in case the month of February is busier and he'll have enough to supplies for the demand.</span>
Answer:
22.5
Explanation:
According to the given situation, the computation of the number of kanbans is shown below:-
Number of kanbans needed = [(Demand × Lead time) + (Demand × Safety stock)] ÷ Kanban size
= (750 × 0.5) + (750 × 0.25) ÷ 25
= 22.5
Therefore for computing the number of Kanbans we simply applied the above formula by considering all items
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Answer:
1. Total cost of purchases for the month
- = actual purchases x actual price = 200,000 pages x $0.175 per page = $35,000
2. Materials price variance
- = (actual unit cost - standard unit cost) x actual quantity used = ($0.175 - $0.17) x 185,000 = $925 unfavorable
3. Materials quantity variance
= (actual quantity used - standard quantity allowed) x standard price = (185,000 - 170,000) x $0.17 = $2,550 unfavorable
4. Net materials variance
- = materials price variance + materials quantity variance = $925 + $2,550 = $3,475 unfavorable
Explanation:
Actual purchase price $0.175 per page
Standard quantity allowed for production 170,000 pages
Actual quantity purchased during month 200,000 pages
Actual quantity used during month 185,000 pages
Standard price per page $0.17 per page
