# 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.

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.Â

Are my solutions correct. Need answer ASAP

Solution details:
STATUS
QUALITY
Approved

This question was answered on: Mar 27, 2022

Solution~000200081960.zip (25.37 KB)

This attachment is locked

We have a ready expert answer for this paper which you can use for in-depth understanding, research editing or paraphrasing. You can buy it or order for a fresh, original and plagiarism-free solution (Deadline assured. Flexible pricing. TurnItIn Report provided)

STATUS

QUALITY

Approved

Mar 27, 2022

EXPERT

Tutor