A famous bike manufacturing company wants to update the on-road prices fortwo new lunched bikes with latest specifications. Ex-showroom quotes areavailable for a duration of four months for the same. The company fetched thecorresponding market data given below;Month 1Month 2Month 3Month 4Ex-showroomquotationrates for4813first bikeEx-showroomquotation11414rates forsecond bikePerform a prineipal component analysis (PCA) on the given data in order tosignificantly contribute to the risk management of the company's portfolio.

Answered: Image /qna-images/answer/83a66a81-5d03-444f-a4c3-49468c924ef8.jpg

Answered: A famous bike manufacturing company…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Answer the following table
For the following line graph, State at least one type of conclusion that could be made from the data provided for the KPI. Suggest one other data source that would provide more information to make data-driven decisions. Explain what information that source would supply. I used the line graph btw. Examples: 1)The KPI webpage for South Texas College provides information on the proportion of graduates who find employment. According to the data, over the past five years, the proportion of graduates who find work has risen annually. Data on the percentage of students who are employed in their field of study after graduation, the percentage of students who are employed full-time after graduation, and the percentage of students who are satisfied with their job after graduation would also be useful in making decisions about post-graduation success. This information would shed light on the factors that are causing the rise in the proportion of graduates who find employment. 2)The…
Explain in simple words the difference between the Causal and Correlated metric types.
Note:- Do not provide handwritten solution. Maintain accuracy and quality in your answer. Take care of plagiarism. Answer completely. You will get up vote for sure.
The forecasts generated by two forecasting methods and actual sales have been collected in the Microsoft Excel Online file attached. Use the Microsoft Excel Online file attached to develop forecast accuracy and answer the following questions. 1. What is the MAD, the MSE, the MAPE, the RSFE, and the tracking signal for each forecasting method? Do not round intermediate calculations. Round your answers to two decimal places. Use the minus sign to enter negative values, if any. 2. What can be concluded about the quality of the forecasts 2? Assume that the control limit for the tracking signal is ±3. The results indicate (bias or no bias) in the forecasts 2, and that the tracking signal (is not or is) within the control limits of ±3.
Please round it to 4 decimal places and add the excel formulas as well.
7. Did plant height of the Alpine ecotype of cinquefoil vary between gardens? Provide justification for your answer including appropriate screenshots of text output and figures from R. The height of the Alpine ecotype cinquefoil does vary. Week 1 Assignment: Characterizing Populations > Ichistan; uchstan # Stanford garden [1] 25.78633 [1] 31.30598 Ich math; ucmath # Mather garden [1] 41.35308 [1] 48.65359 >chtimb; ultimb # Timberline garden [1] 23.81529 [1] 29.17042 Environment History Connections Tutorial Import Dataset ▾ 61 MiB List▾ Global Environment n.stan n. timb s.math 26L 28L 9.61125358120879 s.stan 6.70010332870954 s.timb 6.78079688157715 $1 17.3924278891305 $2 6 $3 97 54 $5 30.15 53 uc1.math uc1.stan ucl. timb x y1 y2 уз Functions 48.6535875829896 31.3059780687354 29.170424087752 ... num [1:141] 20 20.2 20.5 20.8 21 num [1:141] 1.98e-10 6.70e-10 2.19e... num [1:141] 1.86e-45 1.40e-44 1.04e... num [1:141] 8.29e-07 2.19e-06 5.55e... Height in cm 10 20 30 40 50 60 60 Mather…
Calculate the 5 number summary and the interquartile range of the following data: 20, 36, 78, 18, 37, −33, 32, 44, 54, 28, 74, 12, 61, 47, 40, 4820, 36, 78, 18, 37, −33, 32, 44, 54, 28, 74, 12, 61, 47, 40, 48 Q1 = Q2 = Q3 = Min = Max = IQR =

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