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2 years ago

In the middle of class and bored :))))

Mathematics

2 answers:

Neko [114]2 years ago

8 0

Answer:

i felt that man

Step-by-step explanation:

~Ren

pochemuha2 years ago

6 0

Answer:

It's currently 8:43 PM here in my area.

Step-by-step explanation:

Going to sleep maybe at 2:00 AM because it's already school break!

Thanks for the points by the way!

But brainliest? Thanks!

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Write an equation in slope-intercept form of the line that passes through the given points.(3,5) and (0,4) please answer with al

alukav5142 [94]

Answer:

Y = (1/3)X + 4

Step-by-step explanation:

You need to know the equation Y = mX + b, for two sets of coordinates

Therefore we need to find the slope and the interception of the given points.

1) The slope of the line

We can use the point slope form, and clear for the slope m

y - y1 = m (x-x1)

m = (y -y1) / (x -x1)

The data given is: A (3, 5) and B (0, 4)

Then substitute in the slope: m = (5 -4)) / (3 -0) = (1/3)

m = 1/3

2) Find the interception

From the general equation slope intercept Y = mX + b, clear b

b = Y - mX

Now substitute any given point to obtain b the interception

b = Y - mX

Lets choose point A (3, 5), remember m = 1/3

b =5 - (1/3)(3)= 4

b = 4

3) Therefore with the values of m and b, the general equation for the slope intercept form is:

Y = mX + b -->

Y = (1/3)X + 4

7 0

3 years ago

The correlation coefficient between two quantitative variables is approximately 0.6. What does the value of this correlation coe

murzikaleks [220]

Answer:

The model does not fits the data well.

Step-by-step explanation:

Correlation:

Correlation is a technique that help us to find or define a relationship between two variables.

It is a measure of linear relationship between two quantities.

A positive correlation means that an increase in one quantity leads to an increase in another quantity
A negative correlation means with increase in one quantity the other quantity decreases.

R-square, $R^2$

The quantity R-squared is an indicator of the predictive power of a model.
It explains the variation in the dependent variable due to independent variable.
It shows how well the model fits the data.
R-squared is also known as the coefficient of determination.

$R^2 = \text{(Correlation coefficient)}^2= (0.6)^2 = 0.36 = 36\%$

Therefore, only 36% of the variations in the dependent variable is explained by the independent variable in the model which means more than 50% of variation cannot still be explained in the dependent variable.

Hence, the model does not fits the data well.

8 0

3 years ago

A semicircular flower bed has a diameter of 3 metres.

Kaylis [27]

Answer:

3.5 $m^2$