Assess whether there is a relationship between how many years a doctor has been working in their field and the number of malpractice that have been filed against them. In a large study of 18,125 doctors representing multiple hospitals in the United States, the fitted regression line is: (# Malpractice suits) = 2-0.1 x (years of work) The r2=0.36 for this regression. How do you interpret the r2 value? Assuming it is statistically significant, what is the interpretation of the coefficient for “years of work”? If a doctor has worked for 10 years, what is their predicted number of malpractice suits
Assess whether there is a relationship between how many years a doctor has been working in their field and the number of malpractice that have been filed against them. In a large study of 18,125 doctors representing multiple hospitals in the United States, the fitted regression line is: (# Malpractice suits) = 2-0.1 x (years of work) The r2=0.36 for this regression. How do you interpret the r2 value? Assuming it is statistically significant, what is the interpretation of the coefficient for “years of work”? If a doctor has worked for 10 years, what is their predicted number of malpractice suits
Chapter6: Exponential And Logarithmic Functions
Section6.8: Fitting Exponential Models To Data
Problem 3TI: Table 6 shows the population, in thousands, of harbor seals in the Wadden Sea over the years 1997 to...
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Assess whether there is a relationship between how many years a doctor has been working in their field and the number of malpractice that have been filed against them. In a large study of 18,125 doctors representing multiple hospitals in the United States, the fitted regression line is:
(# Malpractice suits) = 2-0.1 x (years of work)
The r2=0.36 for this regression. How do you interpret the r2 value?
Assuming it is statistically significant, what is the interpretation of the coefficient for “years of work”?
If a doctor has worked for 10 years, what is their predicted number of malpractice suits?
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