For positive variables $x\,$ and $y$ , the correlation coefficient between $\ln x\,$ and $\ln y\,$ is 0.992. The regression line is $ln⁡y=1.80+0.650ln⁡x\ln y=1.80+0.650\ln x$ .

Explain why the data support a power model for $y\,$ in terms of $x$ .

Use the fitted regression line to estimate $y\,$ when $x = 4$ . Give your answer to 3 significant figures.

For positive variables $x\,$ and $y$ , the correlation coefficient between $\ln x\,$ and $\ln y\,$ is 0.992. The regression line is $ln⁡y=1.80+0.650ln⁡x\ln y=1.80+0.650\ln x$ .

Explain why the data support a power model for $y\,$ in terms of $x$ .

Use the fitted regression line to estimate $y\,$ when $x = 4$ . Give your answer to 3 significant figures.

2 Statistics

Question 279

Markscheme

2 Statistics

Question 279

Markscheme

2 Statistics

Question 279

2 Statistics Questions

2 Statistics

Question 279

2 Statistics Questions