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rmathotll.com o Quizzes and Tests QMTH 210 Section 002 apter 8 Quiz 3 of 3 0 com

ID: 3180479 • Letter: R

Question

rmathotll.com o Quizzes and Tests QMTH 210 Section 002 apter 8 Quiz 3 of 3 0 complete) Scatterplots and Regressions R the right shows that the trend in and the number of years 3-month bond from 1950 to 1 1950-1980 1980-2007 n to view the scatterplots and model for the data between del for the data between 1980 Dependent Variable Rate variable is: Rate models both fit well, but they squared 76.7 s 1289 65.0% sa 1.749 dels are approximately equal. variable coefficient ariable oefficient 582032 8.187372 he model for the data between 0.284268 inmates that the interest rate was decimal place as needed. predicted value from the model for odel for the data between 1980 and 2007 predicts the interest rate in 1995 to be much lower than the other model predicts. model for the data between 1980 and 2007 predicts the interest rate in 1995 to be about the same as the other model predicts. model for the data between 1980 and 2007 predicts the interest rate in 1995 to be much higher than the other model predicts. st this newer predicted vakae? eally. Extrapolating 45 years beyond the beginning ofthese data would be dangerous and unlikely to be accurate. fit to the relatio shows the plots rate obtained from t 1950 and 1980, whic

Explanation / Answer

a) Option B: The two models both fit well, but they have very different slopes.

1980-2007 data has a negative slope, but 1950-1980 data has a positive slope

b) Rate = 18.187372 – 0.284268*Years(since 1950)

Rate(1995) = 18.187372 – 0.284268*45 = 5.395312 = 5.4

Using 1950-1980 model, interest rate is predicted as 12% in 1995, but the interest rate is only 5.4% according to the 1980-2007 model

Option A: The model for the data between 1980 and 2007 predicts the interest rate in 1995 to be much lower than the other model predicts.

c) Option D. Yes, because the x value is within the range of the original data

d) Option D. It would be best not to predict the values because extrapolating beyond the x values that were used to fit the model can be dangerous