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4 years ago

The table shows the relationship between the height of a tomato plant and the number of days since it has been planted

Mathematics

2 answers:

Vika [28.1K]4 years ago

5 0

Answer:

The y-intercept represent Height

Step-by-step explanation:

In a graph the independent variable is plotted on the X axis and attain only certain discrete values. The Dependent variable is plotted against the Y axis and may be discrete or continuous.

Here in the given question

Days: 2,5,8,12,18,22,25,30,32,35

Height: 3,4,6,9,13,15,16,20,21,24

The height is a dependant variable because we are trying to determine a relationship between the Days and the height. In particular, we are trying to see how the height depends upon what day it is or what is the height of the pant on the particular day.

The day can be only discrete values where height can be both discrete and continuous.

So height can be represented along Y axis

xxTIMURxx [149]4 years ago

3 0

Answer:

<h2>The height at the beginning of the experiment.</h2>

Step-by-step explanation:

The relation that the problem shows is between Days (x) and Height (y).

Remember that a y-incercept is a point with the form (0, k), where k is a real number.

In this case, the y-intercept represents the height of a tomato plant at day zero. In other words, it represents the initial condition, the height at the beginning of the experiment.

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Find the largest number. 16.3, 15.7, 16.9, 15.8

Oksana_A [137]

Answer:

16.9

Step-by-step explanation:

7 0

3 years ago

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8/7=x/5 what is the value of x round to the nearest tenth

faust18 [17]

Answer:

Step-by-step explanation:

$\frac{8}{7} = \frac{x}{5}$

To find x first cross multiply

We have

7x = 8 × 5

7x = 40

Divide both sides by 7

That's

$\frac{7x}{7} = \frac{40}{7}$

$x = \frac{40}{7}$

x = 5.7142

We have the final answer as

<h3>x = 5.7 to the nearest tenth</h3>

Hope this helps you

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4 years ago

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An estimated regression equation that was fit to estimate ductility in steel using its carbon content was found to be significan

AnnZ [28]

Answer:

At a level of 95%, it is expected that the interval [0.45; 11.59] contains the value of the ductility in steel when its carbon content is 0.5%.

Step-by-step explanation:

Hello!

Considering the dependent variable:

Y: Ductility in steel.

And the independent variable:

X: Carbon content of the steel.

The linear regression was estimated and a prediction interval was calculated.

The prediction interval is calculated to predict a value that the variable Y (response variable) can take for a given value of the variable X (predictor variable) in the definition range of the linear regression line. Symbolically [Y/X= $x_{0}$ ]