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Open Excel, conduct correlation and the regression efficient analyses for Toronto car manufacturing company and Vancouver car manufacturing company (see tables of the two companies

  1. Open Excel, conduct correlation and the regression efficient analyses for Toronto car manufacturing company and Vancouver car manufacturing company (see tables of the two companies next page).

describe the results of the analyses (strength and direction of the relationships between adverts and sales; the extent that adverts influence/impact the sales) for

  1. Toronto car manufacturing company
  2. Vancouver car manufacturing company
  3. Were the sample data for the two companies statistically significant? i.e. can you indicate whether the sample data were related to the population data for
  4. Toronto car manufacturing company? Explain why
  5. Vancouver car manufacturing company? Explain why.
  6. Based on the result of the correlation and regression analyses conducted
  7. What is the co-efficient of determination for the Vancouver car manufacturing company?
  8. What is the co-efficient of determination for Toronto car manufacturing company?
  9. What is the co-efficient of non-determination of Vancouver car manufacturing company?
  10. What is the co-efficient of non-determination for Toronto car manufacturing company?

VANCOUVER CAR MANUFACTURING COMPANY LTD

YEAR

ADVERTS

(X VARIABLE)

SALES

(Y VARIABLE)

1991 215

3680

1992 233 3300
1993 245 3500
1994 245 3440
1995 240 3640
1996 256 3730
1997 244 3240
1998 260 2900
1999 266 3800
2000 269 4120
2001 250 4540
2002 270 4550
2003 273 4658
2004 277 4777
2005 280 4790
2006 288 4798
2007 290 5044
2008 300 5080
2009 300 5100
2010 310 5120
2011 312 5201
2012 326 5212
2013 300 5220
2014 320 5107
2015 322 5110
2016 325 5206
2017 325 5230
2018 325 5337
2019 328 5342
2020 340 5345

Source: Vancouver Car Manufacturing Company Ltd, 2022

TORONTO CAR MANUFACTURING COMPANY

YEAR ADVERTS (X variable) SALES (Y variable)
1991 3 12
1992 4 12
1993 3 13
1994 1 15
1995 2 18
1996 2 19
1997 3 22
1998 3 25
1999 4 27
2000 8 29
2001 8 38
2002 8 25
2003 9 25
2004 8 25
2005 11 27
2006 14 26
2007 13 26
2008 13 25
2009 16 25
2010 13 27
2011 13 26
2012 13 26
2013 14 28
2014 15 27
2015 15 28
2016 15 28
2017 15 28
2018 17 30
2019 17 29
2020 16 31

Source: Fieldwork, 2022

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