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3 years ago

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Mathematics

1 answer:

lesya [120]3 years ago

8 0

Using the graph and the percentile concept, it is found that:

The 20th percentile represents about 67 inches, meaning that 20% of the people in the group are shorter than 67 inches.

<h3>What is the percentile concept?</h3>

When a measure is in the xth percentile of a data-set, it is greater than x% of the measures and lesser than (100 - x)%.

In the graph:

The x-axis is the height.

The y-axis is the percentile.

When y = 20, x = 67, which means that:

The 20th percentile represents about 67 inches, meaning that 20% of the people in the group are shorter than 67 inches.

You can learn more about the percentile concept at brainly.com/question/24495213

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Graph the given inequality.<br> -3 > n<br> How do I do this?

Lelu [443]

-3 > n is the same as n < -3 after you flip both sides and flip the inequality.

To graph this, we place an open hole at -3 on the number line. Then we shade to the left to indicate all values smaller than -3. The open hole says "the endpoint is not included". This is because -3 is not smaller than itself.

We would have a filled in circle if we had "or equal to" as part of the inequality, but we don't.

The graph is shown below.

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just as a piece of wood that is 8 foot long he needs to cut pieces that are seven eighths of a foot long how many pieces will he

BlackZzzverrR [31]

He would make 7 peices

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4 years ago

In a multiple linear regression analysis, statistical model utility is determined by the value of R2 and 2s, while practical mod

Natali [406]

Answer:

This statement is true because if F statistics is significant, then the entire multiple regression model is useful for the prediction of y.

Step-by-step explanation:

Solution:

In a multiple linear regression analysis, the statistical model utility is determined by the value of R2 and ∂2, while the Global F test p-value determines the practical model.

This statement is true because if F statistics is significant, then the entire multiple regression model is useful for the prediction of y.

The F test is a statistical test that is very flexible. F test can evaluate multiple model terms.

The F test indicates whether a linear regression model provides a better fit to data than a model that contains no independent variable.

The F test for overall significance has two hypotheses:

1- Null hypothesis:

The fit of the intercept only model and your model are equal.

2- Alternative hypothesis:

The fit of the intercept-only model is significantly reduced compared to your model.

Compare p-value for the F test,

If the p-value is less than the significance level, the sample data provide sufficient evidence that the regression model fits the data better with no independent variable.

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3 years ago

Write an equation for a line that is parallel to y + 5 = 3(x - 1) and goes through the point (3,-4)

MrRa [10]

Answer:

The equation for a line that is parallel to y + 5 = 3(x - 1) and goes through the point (3,-4) will be:

y = 3x-13

Step-by-step explanation:

Given the equation

y + 5 = 3(x - 1)

Writing in the slope-intercept form

y=mx+b

where m is the slope and b is the y-intercept

y = 3(x-1) -5

y = 3x-3-5

y = 3x - 8

Thus, the slope = m = 3

We know that the parallel lines have equal slopes.

So, the slope of a parallel line is also 3

Using the point-slope form of the line equation

$y-y_1=m\left(x-x_1\right)$

substituting the values m = 3 and the point (3, -4)

y-(-4)=3(x-3)

y+4 = 3x-9

y = 3x-9-4

y = 3x-13

Thus, the equation for a line that is parallel to y + 5 = 3(x - 1) and goes through the point (3,-4) will be:

y = 3x-13

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3 years ago

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mamaluj [8]

Answer:

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Step-by-step explanation:

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