We have three explanatory variables in our dataset that are not included in the current model (BUSWEB, SOCEXP, and TOUR). Can you improve the fit of the expanded model by adding one or more of these explanatory variables back into the model? Please add these variables to the regression model from Question 1 and provide a copy of the GRETL output. Do these new variables improve the model reported in Question 1?

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step-by-step explanation:

a) one student is chosen from classroom a, then a student is chosen from classroom b.  

step-by-step explanation:

independent events are ones in which the probability of one event does not affect the probability of the second event.

one student is chosen from classroom a; this does not affect the chances of choosing a student from classroom b.   this makes these independent events.

when one card is chosen from a standard deck and then set aside before a second card is chosen, the probability of the second card being chosen changes.   this makes them dependent events.

when one student is chosen from classroom a and then a second student is chosen from classroom a, the probability of choosing the second student changes.   this makes them dependent events.

when a letter is chosen from the alphabet and then a second letter is chosen, the probability of choosing the second letter changes.   this makes them dependent events.

in 1995, potato plants were taken into space aboard the space shuttle columbia.

step-by-step explanation: