b) Interpret the coefficients in the estimated regression modelof Sales on Csales. c) Before estimating the model, the managerclaimed that for every 1 million increase in Csales, Sales go downby 2 million. Is there evidence from the estimated model that shewas not correct? Answer by constructing an appropriate 95%confidence interval. d) What is the correlation between Sales andCsales?
Region | Sales | Advertising | Promotions | Csales | | |
Selkirk | 101.8 | 1.3 | 0.2 | 20.4 | | Csales=main competitor's sales |
Susquehanna | 44.4 | 0.7 | 0.2 | 30.5 | | Sales=sales of company's Nature -Bar |
Kittery | 108.3 | 1.4 | 0.3 | 24.6 | | |
Acton | 85.1 | 0.5 | 0.4 | 19.6 | | |
Finger Lakes | 77.1 | 0.5 | 0.6 | 25.5 | | |
Berkshires | 158.7 | 1.9 | 0.4 | 21.7 | | |
Central | 180.4 | 1.2 | 1 | 6.8 | | all variables are in millions of dollars |
Providence | 64.2 | 0.4 | 0.4 | 12.6 | | |
Nashua | 74.6 | 0.6 | 0.5 | 31.3 | | |
Dunster | 143.4 | 1.3 | 0.6 | 18.6 | | |
Endicott | 120.6 | 1.6 | 0.8 | 19.9 | | |
Five-Towns | 69.7 | 1 | 0.3 | 25.6 | | |
Waldeboro | 67.8 | 0.8 | 0.2 | 27.4 | | |
Jackson | 106.7 | 0.6 | 0.5 | 24.3 | | |
Stowe | 119.6 | 1.1 | 0.3 | 13.7 | | |
