I really need help solving this problem since I don't quite understand it.

Here are the options:
Slope for least square regression line:
1.) -1. 72
2.) -0. 32
3.) 0.32
4.)1.72

The units of the slope line:
1.) centimeters
2.) days
3.)days per centimeters
4.) centimeters per day

plants hight will:
1. decrease
2. increase

by about:
1.) 0.32
2.)1.72

The y-intercept:
1.) -1. 72
2.) -0.32
3.) 0.32
4.) 1.72

units of the y-intercept:
1. days
2. centimeters
3. days per centimeters
4. centimeters per days

the y-intercept tells you the:
1.) typical change in height each day
2.) actual change in height each day
3.) typical plant height compared to the soil line when planted
4.) actual plant height compared to the soil line when planted

Hope this makes sense :)

Step-by-step explanation:

The best-fit line is:

Predicted height = 0.32 · Days in Soil − 1.72

This equation is a line written in slope-intercept form:

y = mx + b, where m is the slope and b is the y-intercept.

The slope has units of y/x, and the y-intercept has units of y.

The slope is 0.32.  It has units of height / time = cm / day.

The slope is positive, so we expect the height to increase 0.32 cm in 1 day.

The y-intercept is -1.72.  It has units of height = cm.

The y-intercept is the height on day 0.

area of part 1:

a1=base*height/2=(8+2)*(8-2-2-1)/2=10*3/2=15 ft^2

area of part 2:

a2=length*width=(8+2)*1=10 ft2

area of part 3:

a3=length*width=8*2=16 ft2

total shaded area : a1+a2+a3=41 ft2

total area of the reactangle : a=16*8=128 ft2

total area of the nonshaded region : 128-41=87 ft2

answer: median

step-by-step explanation:

the median is the middle value when a data set is ordered from least to greatest