The owner of maumee ford-mercury-volvo wants to study the relationship between the age of a car and its selling price. listed below is a random sample of 12 used cars sold at the dealership during the last year. car age (years) selling price ($000) car age (years) selling price ($000)1 9 8.1 7 8 7.62 7 6.0 8 11 8.03 11 3.6 9 10 8.04 12 4.0 10 12 6.05 8 5.0 11 6 8.66 7 10.0 12 6 8.0(a) determine the regression equation. (round your answers to 2 decimal places. negative amounts should be indicated by a minus sign.)a = =

a= 13.15 years

b= -0.62 years/$

Step-by-step explanation:

Hello!

Given the variables

Y: Age of a used car. (years)

X: Price of a sold used car. ($000)

The linear regression model is:

E(Y)= α + βXi

The estimated equation is:

^Y= a + bXi

a= 13.15 years

b= -0.62 years/$

Then ^Y= 13.15 - 0.62Xi

Mean Y= 8.92

Mean X= 6.91

∑Y= 107

∑Y²=1009

∑X=82.90

∑X²=615.29

∑XY=712.9

Hope it helps!

x = ±sqrt(10)

step-by-step explanation:

5 - 2x² = -15

subtract 5 from each side

5-5 - 2x² = -15-5

-2x^2   = -20

divide by -2 on each side

-2x^2   /-2= -20/-2

x^2 =10

take the square root on each side

sqrt(x^2 )=±sqrt(10)

x = ±sqrt(10)

check:

5 - 2x² = -15

+sqrt(10)

5 - 2(sqrt(10))² = -15

5 -2(10) = -15

5 -20 = -15

-15 = -15

-sqrt(10)

5 - 2(-sqrt(10))² = -15

5 -2(10) = -15

5 -20 = -15

-15 = -15

make sure you have version 2.50

try looking in the very back of the book : )

step-by-step explanation:

you can download it here