Hi could you help me please with these 3 problems:

1. Schalpfer Inc. is trying to determine whether to give a $15 rebate, to cut the price to $8, or to have no price change on a software networking product. Currently, 40,000 units of the product are sold each week for $45. The variable cost of the product is $6. The most likely case appears to be that a $15 rebate will increase sales 35% and about two-thirds of all people will claim the rebate. For the price cut the most likely case is that sales will increase 25%

a) Given all other assumptions, use Excel to create a model that describes all the scenarios given.

b) Holding all assumptions constant except the rebate claim rate, at what rebate claim rate would the rebate and price cut be equally desireble?

c) Is the no price change scenario a good choice? When?

2.You are thinking of opening a small copy shop. Itcosts $8000 to rent a copier for a year and costs $0.023per copy to operate the copier. Other fixed costs ofrunningthe store will amount to $600 per month. Youplan to charge an average of $0.12 per copy, and thestore will be open 365 days per year. Each copier canmake up to 150,000 copies per year.

a) Using Excel, construct a two-way profit table( number of copiers on the left running top to bottom and daily demand on the top running from left to right for the 1 to 5 copiers rented and daily demands of 1000, 1500, 2000 and 2500 copies per day. That is, compute annual profit for each of these combinations of copiers rented and daily demand.

b) Given that you rent three copiers, what daily demand for copies will allow you to break even? Draw a break- even graph to show thi break-even relationship.

3.The Graduate assistant for the Santa Clara Broncos football team has compiled the following statistics: (statistics in excel file)

Year	Wins	Average offensive Yards	Average Interceptions
1	10	500	2
2	8	450	4
3	5	250	10
4	10	485	1
5	7	399	4
6	11	521	2
7	4	158	15
8	11	525	0
9	8	485	4
10	4	300	9
11	5	350	9
12	7	375	9
13	2	150	15
14	5	380	5

a) Using Excel, develop a linear regression model for wins, employing average offensive yards and average interceptions.

b) Calculate the MAD for your model.

c Calculate R, F and t statistics and interpret them.

F-Test Two-Sample for Variances Wins Average offensive Yards Mean 6.928571429 380.5714285714 Variance 8.225274725 16078.5714285714 Observatio 14 14 df 13 13 F 0.000511568 P(F