MINITAB reports the results below for the multiple regression of y = crime
rate on x1 = median income (in thousands of dollars) and x2 = urbanization.

Results of regression analysis
Predictor Coef SE Coef T P
Constant 39. 97 16. 35 2 .44 0.017
income −0.7906 0.8049 −0.98 0.330
urbanization 0.6418 0.1110 5.78 0.000

Correlations: crime, income, urbanization

crime urbanization
urbanization 0.677
income 0.434 0.731

(A) Report the prediction equations relating crime rate to income at urbanization levels of (i) 0 and (ii) 100. Interpret
(B) For the bivariate model relating y = crime rate to x =income, MINITAB reports:
crime = -11.6 + 2.61 income
Interpret the effect of income, according to the sign of its slope.

a) As income increases, the predicted amount of crime increases.
b) As income increases, the predicted amount of crime decreases.

1. sometimes

2.   never

3   .08c = 7.50+.05c   250 pages

step-by-step explanation:

1.   sometimes

the theoretical probability of rolling a 1 is 1/6.   perhaps you got really lucky and never rolled a 1   in those 60 times.   your experimental probability is 0.   or perhaps you rolled a 1   20 times.   your experimental probability is 20/60 is 1/3.     it really just depends on how you rolled in that experiment.

2.   never

the probability of the event occurring is 1.   that is being 100 % sure it will happen.   that is the maximum amount of confidence we have.

3.   no customer card cost:   .08 times number of pages

customer card cost:   7.50 + .05 times number of pages

we want to find when it costs the same amount, so we will set these equal

let c = number of pages

.08c = 7.50+.05c

subtract .05c from each side

.08c-.05c = 7.5+.05c-.05c

.03c=7.5

divide each side by .03

.03c/.03 = 7.5/03

c =250  

the cost is the same at 250 pages

step-by-step explanation:

sorry i just needed points for a quiz plz for give me

they charge the same amount at 20 minutes.

step-by-step explanation: