The scatterplot shows the payroll (in millions of dollars) and number of wins for Major League Baseball teams in 2016, along with the least-squares regression line. The points highlighted in red represent the Los Angeles Dodgers (far right) and the Cleveland Indians (upper left). Describe what influence the point representing the Los Angeles Dodgers has on the equation of the least-squares regression line. Explain your reasoning.

Researchers pose the question: can shoe size be predicted from a woman's height? a random sample of 18 females and their shoe size versus height (in inches) gives the regression results shown in the table. predictor coeff se coeff t ratio p-value constant -45.74 32.58 -2.57 0.147 height 0.5943 0.2984 1.99 0.042 s = 3.2178 r-sq. = 18.9% r-sq. (adj) = 12.4% is there statistical evidence of a linear relationship between shoe size and height? no, because r2, the coefficient of determination, is too small no, because 0.147 is above any reasonable significance level yes, there is evidence at the 5% significance level yes, because, by any reasonable observation, taller women tend to have a larger shoe size