Me with these :

1. there are 108 flights from an airport, 20 of which are longer than 3 hours.

the flight from this airport will be randomly chosen.

what is the probability it is longer than 3 hours?

enter your answer as a fraction, in simplest form, in the box.

2.a number cube with six sides numbered 1 through 6 is rolled. the probability of rolling a 5 is 16 .

what is the probability of not rolling a 5?

enter your answer as a fraction, in simplest form, in the box.


3.a bag contains 7 red marbles, 12 orange marbles, 18 yellow marbles, and 5 purple marbles. a marble is drawn at random from the bag.

what is the probability that the marble drawn will not be orange?

a.130

b.112

c.27

d.57

4.a spinner with six sections labeled a through f is spun. the probability of spinning a consonant (b, c, d, or f) is 23 .

what is the probability of not spinning a consonant?

enter your answer as a fraction, in simplest form, in the box.

5.a student rolls a number cube whose six faces are numbered 1 through 6.

what is the sample space for this experiment?

a. s = {1, 2, 3, 4, 5, 6}

b. s = {1, 2, 3, 4}

c. s = {2, 4, 6}

d. s = {6}

1. the manager of collins import autos believes the number of cars sold in a day (q) depends on two factors: (1) the number of hours the dealership is open (h) and (2) the number of salespersons working that day (s). after collecting data for two months (53 days), the manager estimates the following log-linear model: q 4 equation 1 a. explain, how to transform the log-linear model into linear form that can be estimated using multiple regression analysis. the computer output for the multiple regression analysis is shown below: q4 table b. how do you interpret coefficients b and c? if the dealership increases the number of salespersons by 20%, what will be the percentage increase in daily sales? c. test the overall model for statistical significance at the 5% significance level. d. what percent of the total variation in daily auto sales is explained by this equation? what could you suggest to increase this percentage? e. test the intercept for statistical significance at the 5% level of significance. if h and s both equal 0, are sales expected to be 0? explain why or why not? f. test the estimated coefficient b for statistical significance. if the dealership decreases its hours of operation by 10%, what is the expected impact on daily sales?