Consider the following sample regressions for the linear, the quadratic, and the cubic models along with their respective r2 and adjusted r2.

linear quadratic cubic
intercept 9.66 10.00 10.06
x 2.66 2.75 1.83
x2 na −0.31 −0.33
x3 na na 0.26
r2 0.810 0.836 0.896
adjusted r2 0.809 0.833 0.895

pictureclick here for the excel data file

a.
predict y for x = 1 and 2 with each of the estimated models. (round intermediate calculations to 4 decimal places and final answers to 2 decimal places.)

linear
y-hat quadratic
y-hat cubic
y-hat
x = 1

x = 2

b. select the most appropriate model.

quadratic model
linear model
cubic model

the ratio of white tiles to blue tiles is 48: 16. the ratio in it's simplest form is 3: 1.

step-by-step explanation:

ratio: take the first number and add a colon next to it, then add the second number after that. make sure the ratio order matches up with the written problem!

simplest form: we can simplify the ratio 48 : 16 by dividing both terms by the greatest common factor (gcf).

the gcf of 48 and 16 is 16.

divide both terms by 16:

48 ÷ 16 = 3

16 ÷ 16 = 1

reducing to simplest form:

48 : 16 = 3 : 1

y do u put "subscirbe to ence" on a app for ppl who need with their work?

x = 12

y = 1

for the points!

answer: 60%

explanation:

÷

= 60%