We modeled the price of a car using its mpg and its manufacturing site (foreign or domestic). the regression output is provided below. note that domestic is the reference level for manufacturing site, and that the data is somewhat old so the prices may seem too low for today's prices. what is the predicted price of a foreign car that gets 26 miles per gallon?
coef. std. err. t p(t > |t|)
intercept 11905 1159 10.27 0.000
mpg -294 55 -5.35 0.000
site: foreign 1767 700 2.52 0.014
a. 6028
b. 4261
c. 19549
d. 21316

$9.41

step-by-step explanation:

853.3

step-by-step explanation:

, and

for

step-by-step explanation:

we can analyze the pattern at which the terms increase. let us denote , , , so that we can call

note the following:

the pattern: to get the next term value, we just add the next term number (e.g. 1st, 2nd, to the previous term value (term values are the given numbers in the question, 1, 3, 6, 10, 15,

from , to get to , we add

from , to get to , we add

etc.

we need to form a recursive formula, a formula that has the next term as a function of the previous term. so a possible recursive formula can be

, and for

can i see the following ?

step-by-step explanation: