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3 years ago

This graph shows the relationship between the number of cubic yards and total cost of topsoil at a garden shop.

Mathematics

1 answer:

Vlada [557]3 years ago

8 0

Answer: y=30x

top soil is 5 more dollars than mulch

Step-by-step explanation:

to find y=30x

see what y equals when x equals 1

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Evaluate the expression 3(x + 4) for x = 2*

Sedbober [7]

18 :)

Hope this helps!!!!!!

4 0

3 years ago

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I just wanna make sure yall, when it says find the coordinates does mean<br> to find x and y?

Lelu [443]

Answer:

it means to graph the x and the y are horizontal and vertical lines that you use in graphs to graph the number or to reach it ,, hope this helps ..

Step-by-step explanation:

4 0

3 years ago

What is the range of 16,17,17,18,18,18,19,19,19,19,20,20,20,21,21,22,22,24,25,25

Aleksandr-060686 [28]

In order to find the range we first have to list the numbers from least to greatest:

16, 17, 17, 18, 18, 18, 19, 19, 19, 19, 20, 20, 20, 21, 21, 22, 22, 24, 25, 25

range = largest value - smallest value = answer

range = 25 - 16 = 9

range = 19

so, our final answer would be 19.

~ i hope this helps you have a good day/night afternoon~ ~-gabby~

7 0

4 years ago

Read 2 more answers

Given below are seven observations collected in a regression study on two variables, x (independent variable) and y (dependent v

natka813 [3]

Answer:

Step-by-step explanation:

Hello!

Given the independent variable X and the dependent variable Y (see data in attachment)

The regression equation is

^Y= b₀ + bX

Where

b₀= estimation of the y-intercept

b= estimation of the slope

The formulas to manually calculate both estimations are:

$b= \frac{sumXY-\frac{(sumX)(sumY)}{n} }{sumX^2-\frac{(sumX)^2}{n} }$

$b_0= \frac{}{y} - b*\frac{}{x}$

n=7

∑X= 42

∑X²= 292

∑Y= 49

∑Y²= 403

∑XY= 249

$\frac{}{y} = \frac{sumY}{n} = \frac{49}{7} = 7$

$\frac{}{x} = \frac{sumX}{n} = \frac{42}{7} = 6$

$b= \frac{249-\frac{42*49}{7} }{292-\frac{42^2}{7} }= -1.13$

$b_0= 7- (-1.13)*6= 13.75$

^Y= 13.75 - 1.13X

Using the raw data you can calculate the coefficient of determination as:

$R^2= \frac{b^2[sumX^2-\frac{(sumX)^2}{n} ]}{[sumY^2-\frac{(sumY)^2}{n} ]}$

$R^2= \frac{(-1.13)^2[292-\frac{(42)^2}{7} ]}{[403-\frac{(49)^2}{7} ]}= 0.84$

This means that 84% of the variability of the dependent variable Y is explained by the response variable X under the model ^Y= 13.75 - 1.13X

I hope this helps!

6 0

4 years ago

Tyler baked 702 cookies. He sold them in boxes of 18. After selling all the boxes of cookies for the same amount each, he earned

il63 [147K]

Tyler made $3.50 for each box of cookies

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4 years ago