lll. Log Review. . Calculate log(e). (Remember statisticians tend to write fog instead of In when they really mean log base e!) . Rewrite fog (i) in another way. . Rewrite log 0:") in another way. . Solve 1090:) = y for x. IV. Statistics and Linear Regression Review. After regressing eight patients' weights (in kg) on their height (in cm), a doctor found the following output. Coefficient Estimate Std. Error tvalue Pr( > | t l) (Intercept) 129- 1667 24-36 10 5. 302 0. 00 1826 Height 1.1667 0.1521 ????? 0.000257 . Write down the least squares regression line using f = predicted weight and x : height. . What weight does the model predict for someone who is 160 cm tall? . Interpret the slope of the line in the context of this model.