(a) Use technology to obtain the regression equation and the coefficient of correlation r for the number of social science doctorates as a function of time t in years since 1990. (Round coefficients to three significant digits. Round your r-value to three decimal places.) y(t)= 43.460x−86554.2      r=  Graph the associated points and regression line.               (b) What does the slope tell you about the number of social science doctorates? The number of social science doctorates has been increasing at a rate of about 43 per year.The number of social science doctorates has been increasing at a rate of about 70 per year.    The number of social science doctorates has been decreasing at a rate of about 43 per year.The number of social science doctorates has been decreasing at a rate of about 70 per year. (c) Judging from the graph, would you say that the number of social science doctorates is increasing at a faster and faster rate, a slower and slower rate, or a more-or-less constant rate? Why? The data points suggest a concave-down curve rather than a straight line, indicating that the number of doctorates has been growing at a faster and faster rate.The data points suggest a concave-up curve rather than a straight line, indicating that the number of doctorates has been growing at a slower and slower rate.    The data points suggest a concave-down curve rather than a straight line, indicating that the number of doctorates has been growing at a slower and slower rate.The data points suggest a concave-up curve rather than a straight line, indicating that the number of doctorates has been growing at a faster and faster rate.The data points suggest a straight line, indicating that the number of doctorates has been growing at a more-or-less constant rate. (d) If r had been equal to 1, could you have drawn the same conclusion as in part (c)? Explain. No, if r had been equal to 1, then the points would lie exactly on the regression line, which would indicate that the number of doctorates is growing at a slower and slower rate.Yes, if r had been equal to 1, then the points would lie exactly on the regression line, which would indicate that the number of doctorates is growing at a faster and faster rate.    No, if r had been equal to 1, then the points would lie exactly on the regression line, which would indicate that the number of doctorates is growing at a faster and faster rate.Yes, if r had been equal to 1, then the points would lie exactly on the regression line, which would indicate that the number of doctorates is growing at a constant rate.No, if r had been equal to 1, then the points would lie exactly on the regression line, which would indicate that the number of doctorates is growing at a constant rate.

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c

The following table shows the annual number of PhD graduates in a country in various fields.
  Natural
Sciences
Engineering Social
Sciences
Education
1990 70 10 50 30
1995 130 40 110 40
2000 330 130 270 130
2005 490 370 450 210
2010 590 550 830 520
2012 690 590 1,000 900
(a)
Use technology to obtain the regression equation and the coefficient of correlation r for the number of social science doctorates as a function of time t in years since 1990. (Round coefficients to three significant digits. Round your r-value to three decimal places.)
y(t)=
43.460x−86554.2
 
 
 r
Graph the associated points and regression line.
 
 
 
 
 
 
 
(b)
What does the slope tell you about the number of social science doctorates?
The number of social science doctorates has been increasing at a rate of about 43 per year.The number of social science doctorates has been increasing at a rate of about 70 per year.    The number of social science doctorates has been decreasing at a rate of about 43 per year.The number of social science doctorates has been decreasing at a rate of about 70 per year.
(c)
Judging from the graph, would you say that the number of social science doctorates is increasing at a faster and faster rate, a slower and slower rate, or a more-or-less constant rate? Why?
The data points suggest a concave-down curve rather than a straight line, indicating that the number of doctorates has been growing at a faster and faster rate.The data points suggest a concave-up curve rather than a straight line, indicating that the number of doctorates has been growing at a slower and slower rate.    The data points suggest a concave-down curve rather than a straight line, indicating that the number of doctorates has been growing at a slower and slower rate.The data points suggest a concave-up curve rather than a straight line, indicating that the number of doctorates has been growing at a faster and faster rate.The data points suggest a straight line, indicating that the number of doctorates has been growing at a more-or-less constant rate.
(d)
If r had been equal to 1, could you have drawn the same conclusion as in part (c)? Explain.
No, if r had been equal to 1, then the points would lie exactly on the regression line, which would indicate that the number of doctorates is growing at a slower and slower rate.Yes, if r had been equal to 1, then the points would lie exactly on the regression line, which would indicate that the number of doctorates is growing at a faster and faster rate.    No, if r had been equal to 1, then the points would lie exactly on the regression line, which would indicate that the number of doctorates is growing at a faster and faster rate.Yes, if r had been equal to 1, then the points would lie exactly on the regression line, which would indicate that the number of doctorates is growing at a constant rate.No, if r had been equal to 1, then the points would lie exactly on the regression line, which would indicate that the number of doctorates is growing at a constant rate.
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