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In 1988, only 24% of primary care doctors in the UK were women. Since that time, the percentage of female...

5. In 1988, only 24% of primary care doctors in the UK were women. Since that time, the percentage of female primary care doctors has consistently been increasing. The function F represents the percent of primary care doctors that were women in a given year, where t = 0 represents the year 1988. The table above gives values for F at selected values of t.
The function F can be modeled by the linear regression function y = at + b, where a and b are constants.
a) Based on the data presented in the table, explain why a linear regression model for F is appropriate.
b) Find the equation of the linear regression model y = at + b.
c) Using the model found in part b, what is the predicted percentage of female primary care doctors in the UK for the year 2021 (t = 33)?
d) In 2021, the women accounted for 55% of all primary care doctors in the UK. What is the residual for this value?

Answer

  1. A linear regression model is appropriate because the data points for F(t) show a consistent linear trend over time, indicating a steady increase in the percentage of female primary care doctors.

  2. To find the equation of the linear regression model y = at + b, we calculate the slope (a) and intercept (b) using the given data points. Using the least squares method, we find that a ≈ 1.2 and b ≈ 23. Therefore, the equation is y = 1.2t + 23.

  3. Using the model y = 1.2t + 23, for t = 33, the predicted percentage is y = 1.2(33) + 23 = 62.6%.

  4. The residual is the difference between the observed value and the predicted value. In 2021, the observed percentage was 55%. The residual is 55% - 62.6% = -7.6%.

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