On Rstudio, I need to answer this question,

Fit a simple linear regression model to the data with `log(Risk)` as the response variable and `log(Lscd)` as the predictor variable. Hint: you may include `log(Risk)` and `log(Lscd)` in the formula in `lm`, which will calculate the logarithms of these variables on the fly.

And I do not know where to start, if someone can help Id really appreciate it.

Background: In a recent, exciting, but also controversial Science article, [\blc Tomasetti and Vogelstein\bc](http://science.sciencemag.org/content/347/6217/78.full) attempt to explain why cancer incidence varies drastically across tissues (e.g. why one is much more likely to develop lung cancer rather than pelvic bone cancer). The authors show that a higher average lifetime risk for a cancer in a given tissue correlates with the rate of replication of stem cells in that tissue. The main inferential tool for their statistical analysis was a simple linear regression, which we will replicate here.