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  1. mathematics
  2. statistics
  3. year quarter speclty 2006 3 4480.77 4

Year Quarter SPeClty 2006 3 4480.77 4 5827.48 2007 1 5602.84 2 5269.74 3 4945.67 4 5124.22 2008 1 4996.31 2 5147.61 3 4903.32 4 4960.84 2009 1 4864.16 2 4785.21 3 4684.43 4 4732.58 2010 1 4947.63 2 4826.21 3 4801.46 4 4789.05 2011 1 4812.69 2 4787.65 3 4871.31 4 4756.61 2012 1 4583.15 2 4659.09 3 4587.55 4 4746.01 2013 1 4556.63 2 4632.57 3 4561.03 4 4719.49 2014 1 4516.85 2 4592.78 3 4521.24 4 4844.6 2015 1 4588.54 2 4571.84 3 4671.24 4 5011.6 2016 1 4821.54 2 4916.84 3 4791.31 4 5183.49 2017 1 5045.38 2 5138.97 3 4915.37 4 5369.34 2018 1 5379.83 2 5481 3 5265.31 4 5579.14 2019 1 5743.98 2 5750.01 3 5542.86 a) in a paragraph write about Trend and Seasonality of this store. b) write about Regression model(s)...

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Verified Solution

Question

Statistics

YearQuarterSPeClty
200634480.77
45827.48
200715602.84
25269.74
34945.67
45124.22
200814996.31
25147.61
34903.32
44960.84
200914864.16
24785.21
34684.43
44732.58
201014947.63
24826.21
34801.46
44789.05
201114812.69
24787.65
34871.31
44756.61
201214583.15
24659.09
34587.55
44746.01
201314556.63
24632.57
34561.03
44719.49
201414516.85
24592.78
34521.24
44844.6
201514588.54
24571.84
34671.24
45011.6
201614821.54
24916.84
34791.31
45183.49
201715045.38
25138.97
34915.37
45369.34
201815379.83
25481
35265.31
45579.14
201915743.98
25750.01
35542.86


a) in a paragraph write about Trend andSeasonality of this store.

b) write about Regression model(s) and examinehypotheses

c) what is the least square regression line?

d) write about standard error and interpret it in a shortparagraph.

* please just do it with excel and explain how you are solvingit (preferred to use excel screenshots)

Answer & Explanation Solved by verified expert
3.8 Ratings (683 Votes)
GivenAssuming the column names as a year quarter andsales The data given is the time series of sales of aparticular store from the third quarter of 2006 till the thirdquarter of 2019To finda Short note on Trend and Seasonality of this storeb Regression models and examine hypothesesc The leastsquare regression lined The standard error and its    See Answer
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