In this task, you are given data on daily electricity usage for a company in $2023.$

Temperature, X Kilowatts, Y

$46\mathrm{.}8$

$52\mathrm{.}1$

$55\mathrm{.}1$

$59\mathrm{.}2$

$61\mathrm{.}9$

$66\mathrm{.}2$

$69\mathrm{.}9$

$76\mathrm{.}8$

$79\mathrm{.}7$

$79\mathrm{.}3$

$80\mathrm{.}2$

$83\mathrm{.}3$

$12,530$

$10,800$

$10,180$

$9,730$

$9,750$

$10,230$

$11,160$

$13,910$

$15,110$

$15,690$

$17,020$

$17,880$

Consider the above data set that relates to daily electricity usage as a function of

outside high temperature$($ for the day$).$ As a business analyst, you are responsible for

analysing the performance of the company's operations and providing the company

with corresponding decision support suggestions. Your tasks include:

$$ Using the given data as an example, convert the data set into proper format if

needed

$$ Visualizing the given data by selecting a tool

$$ Analysing the given data and examining what data patterns you see.

$$ Proposing factors that really affect company$$s electricity usages

$$ Analysing what the relationship between Temperature and Kilowatts in the data

set is

$$ Solve this problem with linear regression Y $=$ a $+$ bX$.$ How well does this work?

Plot your results. What is wrong?

$$ Solve this problem by using nonlinear regression. We recommend a quadratic

function, Y $=$ a $+$ b$1$ X $+$ b$22$ X $.$ How well does this work? Plot your results. Is

anything wrong?

$$ Using the business analysis methods and decision support theories you have

learned to come up with another method to solve the entire problem. How well

does this method work? Why?

$$ Evaluating which of methods is best and give reasons.

please use SAS studion for the answer of all the question and please give me detail answer