Six small Oregon cities give the following information about x and y values: per capita income in thousands(x) 8.6 9.3 10.1 8.0 8.3 8.7 number of medical doctors(y) 9.6 18.5 20.9 10.2 11.4 13.1
a) Make a scatterplot. Label your axes and the scales used.
b) What is the linear correlation coefficient?
c) Compute the equation of the least squares regression line.
d) What percent of the relationship between x and y is explained by a line?
e) Graph the least squares regression line on your scatterplot. Identify the points used.
f) If the per capita income was $10,800 predict the number of medical doctors.
g) What is the residual for (10.1, 20.9)? Round to the nearest tenth.
a)
e
e)
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