Mathematics, 17.01.2020 03:31 mcadoo6634
Here are the results of a regression of car deaths in the uk by month from jan 1969 to dec 1984 on a dummy variable: 0 = no seatbelt law, and 1 = seat belt law (the law was instituted in february 1983)coefficients: estimate std. error t value pr(> | t |) (intercept) 125.870 1.849 68.082 < 2e-16 *seatbelts -25.609 5.342 -4.794 3.29e-06 * r-squared = 0.11a. did the seat belt law make a difference? b. is there a need to add more variables to the model? c. how would you justify your answer with numbers? d. what possible independent / predictor variables could you add to this model?
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Here are the results of a regression of car deaths in the uk by month from jan 1969 to dec 1984 on a...
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