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Answered) Asterisk indicates Unsure answers Part 2) Straight line equation:Y= 10.017 + 0.8706X *3) r^2 = 0.6% of the total variation in no.

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Asterisk indicates Unsure answers

Part 2) Straight line equation:Y= 10.017 + 0.8706X

*3) r^2 = 0.9061. 90.6% of the total variation in no. of items sold can b explained by the variation in time the product has been on the market for. So it's a good fit?

5)r= 8.6938+10.5556 log (x)

*7) curve r^2=0.9158 Straight line r^2= 0.9061 The figures are correct, Shall i then say that logarithmic curve fits the data better because r^2 is higher 4 curve?

*9)Logarithmic curve

Because Correlation coefficient is higher and coefficient of determination is higher, which indicates that it is a better fit. 

Are my solutions correct. Need answer ASAP

 

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