Figure 5.10 is a scatterplot of the price of a hot dog against the price of beer (per ounce) at 24 major-league ballparks
in 2015.13 The line is the least-squares regression line for
predicting the price of a hot dog from the price of beer. If
another ballpark charges 0.60 dollar per ounce for beer,
you predict the price of a hot dog to be close to
(a) $3.75.
(b) $5.50.
(c) $7.00.

answer:   35 % is the probability of a late departure or an early arrival.

step-by-step explanation:

let l represents the late departure and e represents the early departure.

then, according to the question,

p(l) = 12 %,   p(e) = 27 % and = 4 %

and, we have to find out,

but, we know that,

which is the required equation that will use to find the probability of a late departure or an early departure.

therefore,   the probability of a late departure or an early arrival =   35 %

i would love   to but there is no graph shown

step-by-step explanation:

i am so sorry

hi there

the slope is 1/3.

this is because from the y-intercept, you go up one, and you go to the right three, to get to the next exact point on the graph. this is known at the “rise over run.”

p.s. (if you need it).your y-intercept is -2, because that is the point on the graph where the line crosses the y-axis.

hope that : )

i'm pretty sure the answer is a. decreases with increase in