A manager at an ice cream store is trying to determine how many customers to expect on any given day. Overall business has been relatively steady over the past several years, but the customer count seems to have its ups and downs. He collects data over 30 days and records the number of customers, the high temperature that day, whether the day fell on a weekend/weekday and whether or not an employee stands outside the store’s entrance and hands out free samples.
Customers Temperature Day of Week Free Samples
376 75 Weekday Yes
433 78 Weekday Yes
524 80 Weekday No
360 70 Weekday No
500 80 Weekday No
645 78 Weekend No
667 80 Weekend Yes
542 85 Weekday No
412 70 Weekday No
435 72 Weekday Yes
396 69 Weekday Yes
425 70 Weekday Yes
702 90 Weekend Yes
725 85 Weekend No
509 80 Weekday Yes
450 74 Weekday No
378 70 Weekday Yes
433 69 Weekday No
467 71 Weekday Yes
679 82 Weekend No
701 80 Weekend Yes
529 83 Weekday Yes
599 92 Weekday Yes
543 90 Weekday No
432 80 Weekday Yes
375 70 Weekday Yes
690 70 Weekend No
734 85 Weekend Yes
465 74 Weekday Yes
401 68 Weekday No
a) Which variable is the response?
b) Define two dummy variables to recode the “Day of the week” and “Free Samples” columns.
c) Fit an MLR equation to the data ( ). Write out the “full” model.
d) Is the overall model significant? Justify with ANOVA hypotheses and p-value
e) Are the individual variables significant? If not, remove the insignificant variables stepwise, until all remaining variables are significant. Also, check if there are any interactions between temperature and significant dummy variables.
f) Write the “best” model you’ve come up with.
g) Predict the number of customers the manager should expect on a Saturday with a forecasted high temperature of 80 degrees and an employee scheduled to hand out free samples.
h) What is the slope term in the equation for “Temperature” when “Day of the Week” = Weekend? Interpret the meaning of this value in terms of the problem. What is the slope for “Temperature” when “Day of the Week” = Weekday? Interpret the meaning of this value in terms of the problem.
i) Is it worth it, for the manager, to pay an employee to stand outside the entrance and give out free samples?
Section 1 – Project Objectives and by and large exploration approach
1.1 Reasons for Choosing the point and association
Enthusiastically for Finance and a craving for abundance creation through putting resources into productive endeavors, I have consistently attempted to evaluate and examine the exhibition stocks (organization’s) on the stock trade to see which may be productive. I therefor picked this subject since it would assist me with fostering the capacity to all the more likely examine organizations exhibitions, and furthermore to additional my vocation in finance. Throughout the span of my ACCA studies, I have been expected to assess the monetary exhibition (performing proportion examination) of associations, get ready and decipher budget reports (F5, F7, and F9), and to perform business examination. I therefor look to apply this information in a genuine circumstance subsequently this point appears to be great.
Humanity has for a very long time, relied upon the tremendous abundance of assets underneath the planet’s surface; from farming which was the significant action of early man to mining (the extraction of important minerals from the earth).
Mining has been a significant supporter the worldwide economy. A review distributed in 2013 observed that the worldwide gold industry’s commitment to the world’s economy was in excess of 150 nations around the world, as this area alone created more than $171 billions (Cecilia Jamasmie, 2015). As indicated by Mark Cutifani, CEO of AngloGold Ashanti (2012), “mining straightforwardly or by implication drives over 45% of the world’s total national output” (GDP) (Martin Creamer, 2012). This developing significance of the mining business to the worldwide economy was a critical driver to my choice of this area.
I additionally end up working in the ranger service area that likewise manages the extraction of normal assets, this nearness to nature additionally added to my decision of industry
I picked Fresnillo Plc on the grounds that it is perhaps of the biggest silver maker on the planet. The London-recorded organization works a few silver and mother lodes in Mexico. In spite of a drop in Mexican silver creation in 2014, the nation actually stayed the most elevated silver maker around the world, with Fresnillo at its front. The organization is versatile and has a designated creation result of in excess of 65 million ounces of silver by 2018 (Investing News Network, 2015).
1.2 Research points and goals
Dissect and assess the monetary exhibition of Fresnillo Plc for the 3 years finished 31st December 2017
Distinguish the elements that have affected the business and monetary execution of Fresnillo over these years These goals would be accomplished by giving solutions to the accompanying inquiries:
What has been the monetary presentation of Fresnillo Plc over the 3 years finishing 31st December 2017, in contrast with Tahoe Resources Inc.?
How has the qualities, shortcomings, potential open doors, and dangers to Fresnillo, impacted their exhibition (both monetary and nonfinancial) over the long term period?
How has Political, Economic, Social, and Technological elements impacted the presentation (monetary and nonfinancial) of Fresnillo?
1.3 Framework for RAP
The report examinations the monetary exhibition of Fresnillo Plc for the 3 years finishing 31st December 2017. This is worked with by the utilization of proportions, for example, productivity, liquidity, equipping, and financial backer proportions.
To more readily assess the presentation of Fresnillo, their exhibition is benchmarked against that of Tahoe Resources Inc.
The report then, at that point, goes further to dissect the effect of the business climate on the presentation of Fresnillo, by utilizing the SWOT system to analyzing its assets, shortcomings, open doors, and dangers. It additionally utilizes the PEST model to evaluate the effect of political, financial, social, and mechanical variables on Fresnillo Plc.
Section 2 – Information assembling and bookkeeping/business strategies
2.1 Sources of data