I need help fast, Please help, these are all in 1 question and separated into parts.

Question B1 (40 pts): Abby Ohler is a sales manager at Brighton Creamery, a company that produces and sells ice-cream. Abby believes that daily temperature in Nebraska would be a good indicator of the companys daily ice cream sales in gallons (gal). Based on the weather data collected at various days with different daily temperature levels (between 54 and 85 Fahrenheit), she has come up with the following regression analysis:

Regressional Statistics

Multiple R	0.957
R Square	0.916
Adjusted R Square	0.916
Standard Error	0.0834
Observations	50

Anova

	df	SS	MS	F	Significance F
Regression	1	0.9648	0.9648	138.26	0.000
Residual	48	0.083736	0.00697
Total	49	1.0485

Standard

	Coefficients	Error	t Stat	P-Value
Intercept	-980	0.120981	1.904	0.02103
Daily Temperature	22.4	0.012707	1.12	0.0214

a) (6 pts) Following regression results given above, if the daily temperature in Nebraska is 82, how much ice cream does Brighton Creamery expect to sell?

b) (8pts) Are you confident in the forecast you obtained in part B1 (a)? Explain your answer with support.

c) (8 pts) Abby Ohler also has the following data on ice cream demand in the last 8 days. Based on this data, forecast the demand for day 9 using exponential smoothing with a smoothing constant of 0.4 and given that the forecast for day 7 was 380.

Day	1	2	3	4	5	6	7	8
Demand	365	350	320	382	402	375	390	372

Abby has been using another method to forecast ice cream demand. Using this new method, she came up with the following forecasts given in Table 1 for the past 8 days demand.

TAble 1
day	Demand	Forecast	Error	Error^2
1	365	342	23	529
2	350	331	19	361
3	320	353	-33	1089
4	382	352	30	900
5	402	371	31	961
6	375	396	-21	441
7	390	372	18	324
8	372	391	-19	361
		Toatal	48	4966

d) (8 pts) Using the results for the past 8 days given in Table 1 above, do any of the errors appear to be unusually small or large, considering the variability in the data?

Choose Yes or No and show supporting calculation

e) (10 pts) Customers will be very dissatisfied if Brighton Creamery is out of stock when they want to buy ice cream, and this may lead to irreversible market share loss. Furthermore, Brighton Creamery has a limited freezer space and storing more than available freezer space may not be possible or extremely costly. Abby Ohler has many alternative methods available for her to forecast ice cream demand. What measure of forecast accuracy is most appropriate to evaluate and compare the performances of the alternative forecasting methods available for Abby for ice cream demand?

Choose (circle) one and briefly explain the reason: MSE / MAD / MAPE