Twa kɔ nsɛm atitiriw so
Log in
Sign up for FREE
arrow_back
Laabri

Review Unit 4

star
star
star
star
star
Last updated about 2 years ago
13 Nsɛmmisa
Ɛhia
1
Ɛhia
1
Ɛhia
1
Ɛhia
1
Ɛhia
1
Ɛhia
1
Ɛhia
1
Ɛhia
1
Ɛhia
1
Ɛhia
1
Ɛhia
1
Ɛhia
1
1
Asemmisa {{asɛmmisaAhyɛnsode}}
1.

Given the graph, write the equation of the line in slope-intercept form.

y= x+

Asemmisa {{asɛmmisaAhyɛnsode}}
2.

Given the graph, write the equation of the line in slope-intercept form:

Slope=

Equation in slope-intercept form:

Asemmisa {{asɛmmisaAhyɛnsode}}
4.

Write the equation below in slope-intercept form.

Asemmisa {{asɛmmisaAhyɛnsode}}
5.

Given the point and slope, write the equation in slope-intercept form

(-5, -2); Slope= -1

y= x

Asemmisa {{asɛmmisaAhyɛnsode}}
6.

Given the point and slope, write the equation in slope-intercept form.

y= x

Asemmisa {{asɛmmisaAhyɛnsode}}
7.

Given the two points, write the equation in slope-intercept form. Arrange the steps in the correct order.

y= x

Asemmisa {{asɛmmisaAhyɛnsode}}
8.

Given the two points, write the equation in slope-intercept form. Arrange the steps in the correct order. (represent slope as a fraction)

y= x

Asemmisa {{asɛmmisaAhyɛnsode}}
9.

Write the Equation of the line that is parallel to

and passes through the point (-3,11).

y= x

Asemmisa {{asɛmmisaAhyɛnsode}}
10.

Write an equation of a line that is Perpendicular to the line below and passes through the given point.

The Perpendicular slope is ; therefore the equation of the line the equation of the line is

Asemmisa {{asɛmmisaAhyɛnsode}}
12.

The table below shows the median salary (in thousands) of a football player. Using your calculator, find the equation for the line of best fit.

Using your equation from #11, estimate the median salary of a football player in 2012.

Asemmisa {{asɛmmisaAhyɛnsode}}
13.

The table below shows the median salary (in thousands) of a football player. Which statement identifies the correlation coefficient between the two variables and the correct interpretation of the correlation coefficient as a measure of the strength of the linear association?

r=,