What is the equation for the graph shown?

I can't solve this problem <br>3.4in<br>3.0in<br>a

mr Goodwill [35]

The answer would be 1.6. The way you do this problem is you square the hypotenuse(in this case 11.56), then subtract the squared version on the side you do have (in this case 9). Then when you subrtact the two, find the square root of the difference (which would be 1.6 in this case).

7 0

3 years ago

The soccer field measures 80 meters by 120 meters. Which is the correct unit of measurement to figure out how much fertilizer is

Trava [24]

It’s meters squared. Since you need to find the area in order to find the amount of fertilizer, the area is expressed as the unit squared.

5 0

3 years ago

Read 2 more answers

A regional planner employed by a public university is studying the demographics of nine counties in the eastern region of an Atl

Brilliant_brown [7]

Answer:

Step-by-step explanation:

Hello!

Given the variables:

X₁: Median Age

X₂: Median Income

b) Considering it from a logical point of view, income changes with age, for example, the more experienced the worker is you would think he would get a better paying job than a younger worker who is just starting. Then the dependent variable will be the median income and the independent variable will be the median age.

a) and c)

To see if there is a linear regression between the median income and median age you have to conduct a hypothesis test for the slope. If the slope is equal to zero, there is no linear regression between the two variables, if it is different to zero, there is a regression between the two of them:

H₀: β=0

H₁: β≠0

α: 0.05

$t= \frac{b-\beta }{Sb} ~~t_{n-2}$

The estimated regression equation for this regression ^Yi= 20.01 + 0.50X

The standard deviation for the slope is Sb= 0.11

$t_{H_0}= \frac{0.50-0}{0.11} = 4.545$

And the p-value for the test is 0.0022

The p-value is less than the level of significance I choose, so the decision is to reject the null hypothesis. You can conclude that there is a linear regression between these two variables.

The correlation coefficient between the median income and the median age is r= 0.87 ⇒ This means you could expect a positive and strong linear correlation between the two variables.

d)

The slope represents how much the variable Y is modified whenever the variable X increases one unit.

In this example: Is the modification of the population mean of the median income, when the median age increases one year.

5 0

3 years ago

The bread is on sale for $1.50 so Erica is also going to buy candy or gum. Which can she afford?

Alborosie

Ok, so she started off with $5.00.

She bought milk for $2.99.

She buys bread, which costs $1.50.

Subtracting the money she wasted, the total would be $0.51.

The only thing she could buy is 5 pieces of gum for 25 cents.

Her change will be $0.26.

Hope this helps!

6 0

3 years ago

Mr. Jones jogs the same route each day. The amount of time he jogs is inversely proportional to his jogging rate.

german

Answer is option C

Mr. Jones jogs the same route each day. The amount of time he jogs is inversely proportional to his jogging rate.

$time= \frac{k}{rate}$